Yudi Setiawan | Nihon University (original) (raw)

Books by Yudi Setiawan

Papers by Yudi Setiawan

Daerah tangkapan air (DTA) Bendung Ciliman Banten merupakan sumber air bagi Bendung Ciliman, sehi... more Daerah tangkapan air (DTA) Bendung Ciliman Banten merupakan sumber air bagi Bendung Ciliman, sehingga perlu dilakukan konservasi agar keandalan air bendung dapat terjamin. Perubahan tataguna lahan akibat pertumbuhan penduduk di DTA telah menyebabkan menurunnya luas hutan dan meningkatnya kekritisan lahan. Luas hutan di DTA hanya sebesar 2,84% dari luas DTA. Tujuan Penelitian ini adalah (1) Mengidentifikasi kondisi ekologi, sosial, dan ekonomi DTA Bendung Ciliman; (2) Mengetahui status keberlanjutan DTA Bendung Ciliman; (3) Menyusun strategi konservasi DTA Bendung Ciliman yang berkelanjutan. Metode yang digunakan antara lain analisis deskriptif, interpretasi citra, analisis Multi Dimensional Scaling (MDS), dan analisis SWOT. Hasil analisis keberlanjutan daerah tangkapan air Bendung Ciliman Banten menunjukkan hasil cukup berkelanjutan dengan nilai 52,52%, dengan nilai stress 12,98% dan nilai R2 sebesar 95,45%. Berdasarkan hasil analisis leverage menunjukkan nilai atribut yang paling s...

Jurnal Teknik Sipil dan Lingkungan, 2019

This research aims to create a model for predicting clean water need in the urban area Sentul Cit... more This research aims to create a model for predicting clean water need in the urban area Sentul City currently and next 30 (thirty years). To create the model, it is required data which are useful for forecasting the inhabitant number year to year. There are some general-used models for forecasting the inhabitant number, including to arithmatic, geometric, and least square method. The inhabitant number forecast in this research used an exponential method, as recommended in the Guidance of River Area Water Resource by Directorate General of Water Resource in 2001. The researcher used the software Stella 9.0.1 for simplifying the modeling process, projecting the inhabitant number, predicting the clean water need, and figuring the graphics. Besides this software, Excel programme was also used. According to data analysis result, the equation models to predict water need (m 3 /year) in Sentul City are stated as follows; for rural area inhabitants:

Forests

In recent decades, catastrophic wildfire episodes within the Sumatran peatland have contributed t... more In recent decades, catastrophic wildfire episodes within the Sumatran peatland have contributed to a large amount of greenhouse gas emissions. The El-Nino Southern Oscillation (ENSO) modulates the occurrence of fires in Indonesia through prolonged hydrological drought. Thus, assessing peatland vulnerability to fires and understanding the underlying drivers are essential to developing adaptation and mitigation strategies for peatland. Here, we quantify the vulnerability of Sumatran peat to fires under various ENSO conditions (i.e., El-Nino, La-Nina, and Normal phases) using correlative modelling approaches. This study used climatic (i.e., annual precipitation, SPI, and KBDI), biophysical (i.e., below-ground biomass, elevation, slope, and NBR), and proxies to anthropogenic disturbance variables (i.e., access to road, access to forests, access to cities, human modification, and human population) to assess fire vulnerability within Sumatran peatlands. We created an ensemble model based ...

2017 European Modelling Symposium (EMS), 2017

The presence of cloud shadows in satellite imageries decreases the reflectance of the objects und... more The presence of cloud shadows in satellite imageries decreases the reflectance of the objects under the shades to relatively low intensities, leads to identification errors. Thus, cloud shadows detection is crucial in image processing steps. We integrated solar position modelling, projective geometry modelling, and spectral thresholding to detect cloud shadows in Landsat 8 imageries. We evaluated the algorithm using the window area of Mount Halimun-Salak, Bogor, West Java, Indonesia. The best rate accuracies of cloud shadow detection using the algorithm was obtained at producer's accuracy, user's accuracy and κ of 63.79%, 70.58%, and 0.66, respectively. Possibility of improving the algorithm for correcting the reflectance of the objects under the shades instead of removing is discussed.

Agroforestry/mixed gardens is a land management system that combines agricultural, livestock prod... more Agroforestry/mixed gardens is a land management system that combines agricultural, livestock production with tree to obtain various products in a sustainable manner so as to increase social, economic and environmental benefits This system can be a form of mitigation and adaptation to global climate change, especially in areas with high population densities, but with less agricultural labor, such as in urban fringe area. Based on the formal definition of forests from the Indonesian Ministry of Environment and Forestry of Indonesia based on canopy cover, agroforestry might be considered as forest, whereas the canopy cover >30%. The research aim to estimate canopy cover base on integration of Lidar and Landsat 8 OLI of agroforestry in the Cidanau watershed. The most suitable equation model is an exponential equation (FRCI = 22.928e (-80.439 * 'RED')), however, some underestimation in high canopy cover ( >70%) and underestimation in low canopy cover (< 60%) should be an...

Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management), 2021

Every single physical object has a different response to the electromagnetic wave emitted to it. ... more Every single physical object has a different response to the electromagnetic wave emitted to it. The response is in the form of how it absorbs and reflects the energy in every range of wavelength. The absorption and reflection curve is known as a spectral pattern. The spectral pattern of each object can be used to determine the object. In agriculture, the spectral pattern of plants can be used to determine the health condition of the plant. Drought is one factor that can affect the health of the plant. By identifying the spectral pattern of the plants, the effect of drought on paddy can be identified. This experimental study tried to identify the spectral pattern of some varieties of paddy and different growth stages. A spectrophotometer with a wavelength range of 350-1052 nm was used. Four varieties of paddy were planted in a greenhouse and being treated in drought conditions from the stage of vegetative, generative, and reproductive. Based on the result, the spectral response from...

IOP Conference Series: Earth and Environmental Science, 2019

Mangroves are very important ecosystems, because of their economic value and environmental servic... more Mangroves are very important ecosystems, because of their economic value and environmental services, including as a habitat for various wildlife species, storing carbon, and protecting land from sea abrasion. Indonesia is known to have large mangrove area and diversity. It is estimated that the area of mangroves in Indonesia in 2015 reached about 3 million hectares, with 15 families, 18 genera, 41 true mangrove species and 116 species of mangrove associations. Unfortunately, the area to continue to decline due to degradation and conversion to other land uses, especially ponds and built up areas. Usually, mangrove degradation assessment is carried out by field survey and relying on Normalized Difference Vegetation Index (NDVI) clustering derived from satellite image data. Field surveys require a large amount of time and cost, meanwhile NDVI clustering is either inaccurate or too rough. Therefore, exploration of another methods are needed. Our result showed that pixel value of Band 5,...

IOP Conference Series: Earth and Environmental Science, 2017

Ciliwung is the biggest river in Jakarta. It is 119 km long with a catchment area of 476 km2. It ... more Ciliwung is the biggest river in Jakarta. It is 119 km long with a catchment area of 476 km2. It flows from Bogor Regency and crosses Bogor City, Depok City, and Jakarta before finally flowing into Java Sea through Jakarta Bay. The water quality in Ciliwung River has degraded. Many factors affect water quality. Understanding the relationship between land use and surface water quality is necessary for effective water management. It has been widely accepted that there is a close relationship between the land use type and water quality. This study aims to analyze the influence of various land use types on the water quality within the Ciliwung Watershed based on the water quality monitoring data and remote sensing data in 2010 and 2014. Water quality parameters exhibited significant variations between the urban-dominated and forest-dominated sites. The proportion of urban land was strongly positively associated with total nitrogen and ammonia nitrogen concentrations. The result can provide scientific reference for the local land use optimization and water pollution control and guidance for the formulation of policies to coordinate the exploitation and protection of the water resource.

Land com'ersion of paddy field that continuously in East Jm'a I\'ill afTecting the production in ... more Land com'ersion of paddy field that continuously in East Jm'a I\'ill afTecting the production in the area of paddy field. Cropping intensity can supported the food safety. Mapping or distribution cropping pattcrn paddy field is necessarily important to obtain sustainability paddy field area. This research aimcd to prcdict the area of padd~' field in East Jm'a Prol'ince using MODIS image product with EVI composite I(,-day resolution of 250 meters and show the distribution cropping pattern of paddy field. Growldcheck was conducted as actual I'alidation to know the cropping pattern in their location. The cropping area is 1,369,613 ha and han'ested area of paddy field is 1.310.307 ha.

Sixth International Symposium on LAPAN-IPB Satellite, 2019

Cekungan Bandung Urban Region is a national strategic area from the point of economic interest. R... more Cekungan Bandung Urban Region is a national strategic area from the point of economic interest. Rapid economic growth in the region has led to increased population growth and Built-up land use. Increased use of built up land in urban areas can cause urban sprawl which can have serious impacts that will damage the structure and function of urban area ecosystems, thus hampering the development of regional sustainability. Landscape Metrics can be used to analyze the urban form of the Cekungan Bandung Area in time series from 1983-2015 so that it can identify the changing trends. The results of the analysis show that during this period urban growth in the Cekungan Bandung Area showed a positive trend with a compact, connected, un-fragmented and near-square urban form. Being a concern of Patch Density (PD) and CONTIG values because it shows an increasing number of patches so that patches are more fragmented and the distance between the built up patches shows the trend is increasingly scattered on the edges of the Cekungan Bandung Area which can cause urban sprawl.

ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012

Remote sensing has long been used as a means of detecting and classifying changes on the land. An... more Remote sensing has long been used as a means of detecting and classifying changes on the land. Analysis of multi-year time series of land surface attributes and their seasonal change indicates a complexity of land use land cover change (LULCC). This paper explores the temporal complexity of land change considering temporal vegetation dynamics, in other words, distinguishing the changes regarding to their properties in long-term image analysis. This study is based on the hypothesis that land cover might be dynamics; however, consistent land use has a typical, distinct and repeated temporal pattern of vegetation index inter-annually. Therefore, pixels represent a change when the inter-annual temporal dynamics is changed. We analysed the dynamics pattern of long-term image data of wavelet-filtered MODIS EVI from 2001 to 2007. The change of temporal vegetation dynamics was detected by differentiating distance between two successive annual EVI patterns. Moreover, we defined the type of changes using the clustering method, which were then validated by ground check points and secondary data sets.

Media Konservasi, 2021

The forest inventory technique by applying remote sensing technology has become a new breakthroug... more The forest inventory technique by applying remote sensing technology has become a new breakthrough in technological developments in forest inventory activities. Unmanned Aerial Vehicle (UAV) imagery with camera sensor is one of the inventory tools that produce data with high spatial resolution. The level of spatial resolution of the image is strongly influenced by the flying height of the UAV for a certain camera’s focus. In addition, flight height also affects the acquisition time and accuracy of inventory results, although there is still little research on this matter. The study aims to (a)evaluate the effect of various flying heights on the accuracy of tree height measurements through UAV imagery for every stand age class, (b).estimate the trees diameter and canopy cover for every stand age class. Stand height was estimated using Digital Surface Models (DSM), Digital Terrain Models (DTM) and Orthophoto. DSM and DTM were built by converting orthophoto to pointclouds using the PIX4...

Increasing of economic development is generally followed by the change of landuse from agricultur... more Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultural land, especially paddy fields regarding to changes in landuse and global climate. Utilization and development of satellite technology is necessary to provide more accurate and independent database for agricultural land monitoring, especially paddy fields. This study aims to develop a utilization model for LAPAN-IPB satellite (LISAT) and other several satellites data that have been used for paddy field monitoring. This research is conducted through 2 stages: 1) Characterization LISAT satellite data to know spectral variation of paddy field, and 2) Development method of LISAT data fusion with other satellites for paddy field mapping. Based on the research results, the characteristics Red and NIR band in LISAT data imagery have a go...

ABSTRACT: Peat land in Indonesia is being damaged severely by land development and fire, includin... more ABSTRACT: Peat land in Indonesia is being damaged severely by land development and fire, including peat lands in Muaro Jambi Regency, Jambi Province, Indonesia. Deforestation and drainage put pressure in peat lands in Muaro Jambi. The purpose of this study is to detect and monitor changes in peat lands in period of 2001-2013 using multi-temporal EVI and NDWI. By knowing the temporal patterns of vegetation index (EVI and NDWI) obtained from MODIS data, we can see the significant changes in the patterns that describes land use/land cover changes in an area. Wavelet transform applied to reduce residual noises of the values. Results of the analysis show that there is a slight gap value between EVI and NDWI, however both index have a similar pattern characteristic. Most of the changes detected by the index occurred in August-October with low rainfall, high temperature and high hotspot number. These conditions help people to burn faster and easier, but also worsen its effects. 1.

Journal of Natural Resources and Environmental Management, Dec 31, 2020

Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 2018

Within UNFCCC framework, forest monitoring should be capable of detecting emissions from not only... more Within UNFCCC framework, forest monitoring should be capable of detecting emissions from not only deforestation, but also from forest degradation. In fact, determinants of deforestation are relatively more detectable using remotely sensed data than determinants of forest degradation. Forest canopy closure is one important determinant of forest degradation. In this case, loss on forest canopy closure indicates forest degradation. As part of our activities in developing methodology for estimating forest canopy closure, this paper describes our methods on estimating forest canopy closure based on ALS LiDAR point cloud through the development of a three dimensionally explicit voxel-based model of forest canopy using an open-source modelling platform of NetLogo 3D 5.3.1. Window area in South Sumatra, Indonesia was selected as the study site. Estimated canopy closure resulted by our model was compared with the results from commercial software (i.e. LiDAR360). The results of this study suggest that using a simple voxel-based model with 2 parameters within open source platform; it is possible to estimate forest canopy closure based on ALS LiDAR point cloud at relatively small deviation (around 25.04%), as compared to similar commercial software, which algorithm is usually hidden. However, validating the model with ground measured data on canopy closure should be carried out.

Increasing of economic development is generally followed by the change of landuse from agricultur... more Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultural land, especially paddy fields regarding to changes in landuse and global climate. Utilization and development of satell ite technology is necessary to provide more accurate and independent database for agricultural land monitoring, especially paddy fields. This study aims to develop a utilization model for LAPAN-IPB satellite (LISAT) and other several satellites data that have been used for paddy field monitoring. This research is conducted through 2 stages: 1) Characterization LISAT satellite data to know spectral variation of paddy field, and 2) Development method of LISAT data fusion with other satellites for paddy field mapping. Based on the research results, the characteristics Red and NIR band in LISAT data imagery have a g...

Daerah tangkapan air (DTA) Bendung Ciliman Banten merupakan sumber air bagi Bendung Ciliman, sehi... more Daerah tangkapan air (DTA) Bendung Ciliman Banten merupakan sumber air bagi Bendung Ciliman, sehingga perlu dilakukan konservasi agar keandalan air bendung dapat terjamin. Perubahan tataguna lahan akibat pertumbuhan penduduk di DTA telah menyebabkan menurunnya luas hutan dan meningkatnya kekritisan lahan. Luas hutan di DTA hanya sebesar 2,84% dari luas DTA. Tujuan Penelitian ini adalah (1) Mengidentifikasi kondisi ekologi, sosial, dan ekonomi DTA Bendung Ciliman; (2) Mengetahui status keberlanjutan DTA Bendung Ciliman; (3) Menyusun strategi konservasi DTA Bendung Ciliman yang berkelanjutan. Metode yang digunakan antara lain analisis deskriptif, interpretasi citra, analisis Multi Dimensional Scaling (MDS), dan analisis SWOT. Hasil analisis keberlanjutan daerah tangkapan air Bendung Ciliman Banten menunjukkan hasil cukup berkelanjutan dengan nilai 52,52%, dengan nilai stress 12,98% dan nilai R2 sebesar 95,45%. Berdasarkan hasil analisis leverage menunjukkan nilai atribut yang paling s...

Jurnal Teknik Sipil dan Lingkungan, 2019

This research aims to create a model for predicting clean water need in the urban area Sentul Cit... more This research aims to create a model for predicting clean water need in the urban area Sentul City currently and next 30 (thirty years). To create the model, it is required data which are useful for forecasting the inhabitant number year to year. There are some general-used models for forecasting the inhabitant number, including to arithmatic, geometric, and least square method. The inhabitant number forecast in this research used an exponential method, as recommended in the Guidance of River Area Water Resource by Directorate General of Water Resource in 2001. The researcher used the software Stella 9.0.1 for simplifying the modeling process, projecting the inhabitant number, predicting the clean water need, and figuring the graphics. Besides this software, Excel programme was also used. According to data analysis result, the equation models to predict water need (m 3 /year) in Sentul City are stated as follows; for rural area inhabitants:

Forests

In recent decades, catastrophic wildfire episodes within the Sumatran peatland have contributed t... more In recent decades, catastrophic wildfire episodes within the Sumatran peatland have contributed to a large amount of greenhouse gas emissions. The El-Nino Southern Oscillation (ENSO) modulates the occurrence of fires in Indonesia through prolonged hydrological drought. Thus, assessing peatland vulnerability to fires and understanding the underlying drivers are essential to developing adaptation and mitigation strategies for peatland. Here, we quantify the vulnerability of Sumatran peat to fires under various ENSO conditions (i.e., El-Nino, La-Nina, and Normal phases) using correlative modelling approaches. This study used climatic (i.e., annual precipitation, SPI, and KBDI), biophysical (i.e., below-ground biomass, elevation, slope, and NBR), and proxies to anthropogenic disturbance variables (i.e., access to road, access to forests, access to cities, human modification, and human population) to assess fire vulnerability within Sumatran peatlands. We created an ensemble model based ...

2017 European Modelling Symposium (EMS), 2017

The presence of cloud shadows in satellite imageries decreases the reflectance of the objects und... more The presence of cloud shadows in satellite imageries decreases the reflectance of the objects under the shades to relatively low intensities, leads to identification errors. Thus, cloud shadows detection is crucial in image processing steps. We integrated solar position modelling, projective geometry modelling, and spectral thresholding to detect cloud shadows in Landsat 8 imageries. We evaluated the algorithm using the window area of Mount Halimun-Salak, Bogor, West Java, Indonesia. The best rate accuracies of cloud shadow detection using the algorithm was obtained at producer's accuracy, user's accuracy and κ of 63.79%, 70.58%, and 0.66, respectively. Possibility of improving the algorithm for correcting the reflectance of the objects under the shades instead of removing is discussed.

Agroforestry/mixed gardens is a land management system that combines agricultural, livestock prod... more Agroforestry/mixed gardens is a land management system that combines agricultural, livestock production with tree to obtain various products in a sustainable manner so as to increase social, economic and environmental benefits This system can be a form of mitigation and adaptation to global climate change, especially in areas with high population densities, but with less agricultural labor, such as in urban fringe area. Based on the formal definition of forests from the Indonesian Ministry of Environment and Forestry of Indonesia based on canopy cover, agroforestry might be considered as forest, whereas the canopy cover >30%. The research aim to estimate canopy cover base on integration of Lidar and Landsat 8 OLI of agroforestry in the Cidanau watershed. The most suitable equation model is an exponential equation (FRCI = 22.928e (-80.439 * 'RED')), however, some underestimation in high canopy cover ( >70%) and underestimation in low canopy cover (< 60%) should be an...

Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management), 2021

Every single physical object has a different response to the electromagnetic wave emitted to it. ... more Every single physical object has a different response to the electromagnetic wave emitted to it. The response is in the form of how it absorbs and reflects the energy in every range of wavelength. The absorption and reflection curve is known as a spectral pattern. The spectral pattern of each object can be used to determine the object. In agriculture, the spectral pattern of plants can be used to determine the health condition of the plant. Drought is one factor that can affect the health of the plant. By identifying the spectral pattern of the plants, the effect of drought on paddy can be identified. This experimental study tried to identify the spectral pattern of some varieties of paddy and different growth stages. A spectrophotometer with a wavelength range of 350-1052 nm was used. Four varieties of paddy were planted in a greenhouse and being treated in drought conditions from the stage of vegetative, generative, and reproductive. Based on the result, the spectral response from...

IOP Conference Series: Earth and Environmental Science, 2019

Mangroves are very important ecosystems, because of their economic value and environmental servic... more Mangroves are very important ecosystems, because of their economic value and environmental services, including as a habitat for various wildlife species, storing carbon, and protecting land from sea abrasion. Indonesia is known to have large mangrove area and diversity. It is estimated that the area of mangroves in Indonesia in 2015 reached about 3 million hectares, with 15 families, 18 genera, 41 true mangrove species and 116 species of mangrove associations. Unfortunately, the area to continue to decline due to degradation and conversion to other land uses, especially ponds and built up areas. Usually, mangrove degradation assessment is carried out by field survey and relying on Normalized Difference Vegetation Index (NDVI) clustering derived from satellite image data. Field surveys require a large amount of time and cost, meanwhile NDVI clustering is either inaccurate or too rough. Therefore, exploration of another methods are needed. Our result showed that pixel value of Band 5,...

IOP Conference Series: Earth and Environmental Science, 2017

Ciliwung is the biggest river in Jakarta. It is 119 km long with a catchment area of 476 km2. It ... more Ciliwung is the biggest river in Jakarta. It is 119 km long with a catchment area of 476 km2. It flows from Bogor Regency and crosses Bogor City, Depok City, and Jakarta before finally flowing into Java Sea through Jakarta Bay. The water quality in Ciliwung River has degraded. Many factors affect water quality. Understanding the relationship between land use and surface water quality is necessary for effective water management. It has been widely accepted that there is a close relationship between the land use type and water quality. This study aims to analyze the influence of various land use types on the water quality within the Ciliwung Watershed based on the water quality monitoring data and remote sensing data in 2010 and 2014. Water quality parameters exhibited significant variations between the urban-dominated and forest-dominated sites. The proportion of urban land was strongly positively associated with total nitrogen and ammonia nitrogen concentrations. The result can provide scientific reference for the local land use optimization and water pollution control and guidance for the formulation of policies to coordinate the exploitation and protection of the water resource.

Land com'ersion of paddy field that continuously in East Jm'a I\'ill afTecting the production in ... more Land com'ersion of paddy field that continuously in East Jm'a I\'ill afTecting the production in the area of paddy field. Cropping intensity can supported the food safety. Mapping or distribution cropping pattcrn paddy field is necessarily important to obtain sustainability paddy field area. This research aimcd to prcdict the area of padd~' field in East Jm'a Prol'ince using MODIS image product with EVI composite I(,-day resolution of 250 meters and show the distribution cropping pattern of paddy field. Growldcheck was conducted as actual I'alidation to know the cropping pattern in their location. The cropping area is 1,369,613 ha and han'ested area of paddy field is 1.310.307 ha.

Sixth International Symposium on LAPAN-IPB Satellite, 2019

Cekungan Bandung Urban Region is a national strategic area from the point of economic interest. R... more Cekungan Bandung Urban Region is a national strategic area from the point of economic interest. Rapid economic growth in the region has led to increased population growth and Built-up land use. Increased use of built up land in urban areas can cause urban sprawl which can have serious impacts that will damage the structure and function of urban area ecosystems, thus hampering the development of regional sustainability. Landscape Metrics can be used to analyze the urban form of the Cekungan Bandung Area in time series from 1983-2015 so that it can identify the changing trends. The results of the analysis show that during this period urban growth in the Cekungan Bandung Area showed a positive trend with a compact, connected, un-fragmented and near-square urban form. Being a concern of Patch Density (PD) and CONTIG values because it shows an increasing number of patches so that patches are more fragmented and the distance between the built up patches shows the trend is increasingly scattered on the edges of the Cekungan Bandung Area which can cause urban sprawl.

ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012

Remote sensing has long been used as a means of detecting and classifying changes on the land. An... more Remote sensing has long been used as a means of detecting and classifying changes on the land. Analysis of multi-year time series of land surface attributes and their seasonal change indicates a complexity of land use land cover change (LULCC). This paper explores the temporal complexity of land change considering temporal vegetation dynamics, in other words, distinguishing the changes regarding to their properties in long-term image analysis. This study is based on the hypothesis that land cover might be dynamics; however, consistent land use has a typical, distinct and repeated temporal pattern of vegetation index inter-annually. Therefore, pixels represent a change when the inter-annual temporal dynamics is changed. We analysed the dynamics pattern of long-term image data of wavelet-filtered MODIS EVI from 2001 to 2007. The change of temporal vegetation dynamics was detected by differentiating distance between two successive annual EVI patterns. Moreover, we defined the type of changes using the clustering method, which were then validated by ground check points and secondary data sets.

Media Konservasi, 2021

The forest inventory technique by applying remote sensing technology has become a new breakthroug... more The forest inventory technique by applying remote sensing technology has become a new breakthrough in technological developments in forest inventory activities. Unmanned Aerial Vehicle (UAV) imagery with camera sensor is one of the inventory tools that produce data with high spatial resolution. The level of spatial resolution of the image is strongly influenced by the flying height of the UAV for a certain camera’s focus. In addition, flight height also affects the acquisition time and accuracy of inventory results, although there is still little research on this matter. The study aims to (a)evaluate the effect of various flying heights on the accuracy of tree height measurements through UAV imagery for every stand age class, (b).estimate the trees diameter and canopy cover for every stand age class. Stand height was estimated using Digital Surface Models (DSM), Digital Terrain Models (DTM) and Orthophoto. DSM and DTM were built by converting orthophoto to pointclouds using the PIX4...

Increasing of economic development is generally followed by the change of landuse from agricultur... more Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultural land, especially paddy fields regarding to changes in landuse and global climate. Utilization and development of satellite technology is necessary to provide more accurate and independent database for agricultural land monitoring, especially paddy fields. This study aims to develop a utilization model for LAPAN-IPB satellite (LISAT) and other several satellites data that have been used for paddy field monitoring. This research is conducted through 2 stages: 1) Characterization LISAT satellite data to know spectral variation of paddy field, and 2) Development method of LISAT data fusion with other satellites for paddy field mapping. Based on the research results, the characteristics Red and NIR band in LISAT data imagery have a go...

ABSTRACT: Peat land in Indonesia is being damaged severely by land development and fire, includin... more ABSTRACT: Peat land in Indonesia is being damaged severely by land development and fire, including peat lands in Muaro Jambi Regency, Jambi Province, Indonesia. Deforestation and drainage put pressure in peat lands in Muaro Jambi. The purpose of this study is to detect and monitor changes in peat lands in period of 2001-2013 using multi-temporal EVI and NDWI. By knowing the temporal patterns of vegetation index (EVI and NDWI) obtained from MODIS data, we can see the significant changes in the patterns that describes land use/land cover changes in an area. Wavelet transform applied to reduce residual noises of the values. Results of the analysis show that there is a slight gap value between EVI and NDWI, however both index have a similar pattern characteristic. Most of the changes detected by the index occurred in August-October with low rainfall, high temperature and high hotspot number. These conditions help people to burn faster and easier, but also worsen its effects. 1.

Journal of Natural Resources and Environmental Management, Dec 31, 2020

Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 2018

Within UNFCCC framework, forest monitoring should be capable of detecting emissions from not only... more Within UNFCCC framework, forest monitoring should be capable of detecting emissions from not only deforestation, but also from forest degradation. In fact, determinants of deforestation are relatively more detectable using remotely sensed data than determinants of forest degradation. Forest canopy closure is one important determinant of forest degradation. In this case, loss on forest canopy closure indicates forest degradation. As part of our activities in developing methodology for estimating forest canopy closure, this paper describes our methods on estimating forest canopy closure based on ALS LiDAR point cloud through the development of a three dimensionally explicit voxel-based model of forest canopy using an open-source modelling platform of NetLogo 3D 5.3.1. Window area in South Sumatra, Indonesia was selected as the study site. Estimated canopy closure resulted by our model was compared with the results from commercial software (i.e. LiDAR360). The results of this study suggest that using a simple voxel-based model with 2 parameters within open source platform; it is possible to estimate forest canopy closure based on ALS LiDAR point cloud at relatively small deviation (around 25.04%), as compared to similar commercial software, which algorithm is usually hidden. However, validating the model with ground measured data on canopy closure should be carried out.

Increasing of economic development is generally followed by the change of landuse from agricultur... more Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultural land, especially paddy fields regarding to changes in landuse and global climate. Utilization and development of satell ite technology is necessary to provide more accurate and independent database for agricultural land monitoring, especially paddy fields. This study aims to develop a utilization model for LAPAN-IPB satellite (LISAT) and other several satellites data that have been used for paddy field monitoring. This research is conducted through 2 stages: 1) Characterization LISAT satellite data to know spectral variation of paddy field, and 2) Development method of LISAT data fusion with other satellites for paddy field mapping. Based on the research results, the characteristics Red and NIR band in LISAT data imagery have a g...

2017 European Modelling Symposium (EMS), 2017

Automated classification algorithms for satellite imageries require spectral correction from terr... more Automated classification algorithms for satellite imageries require spectral correction from terrain effects due to shading. Such terrain effects can produce reflectance bias of pixels in the same category. This study was aimed at exploring robust algorithms for correcting satellite imageries from terrain effects, applicable for either Landsat 8 or Sentinel-2A imageries. Mount Halimun-Salak and Mount Gede-Pangrango, Bogor, West Java, Indonesia, were selected as the window areas to evaluate the algorithm. We developed algorithm, which combined solar position modelling, illumination modelling, and simple statistical model to remove the terrain effects. The algorithm was proven to be able to solve over correction problems and result relatively consistent sensitivities in SWIR, NIR and blue bands of either Landsat 8 or Sentinel-2A imageries in both window areas from different acquisition dates and times