Tatik Kartika - Academia.edu (original) (raw)

Papers by Tatik Kartika

IOP Conference Series: Earth and Environmental Science

Peat fires in Indonesia frequently result in ecological degradation and loss. Public attention ha... more Peat fires in Indonesia frequently result in ecological degradation and loss. Public attention has shifted to savanna fires, which are usually overlooked but have increased in frequency in recent years, surpassing the area of controlled peat fires in Indonesia. Mapping the short-lived burns in Indonesia’s savanna is challenging. Only a few studies have examined fires in the Indonesian savanna, specifically the spectral responses associated with fires. Our study aims to analyse spectral changes caused by fires in Sumba Island, East Nusa Tenggara, Indonesia using field data and satellite images (Sentinel-2 and Landsat 8). We plotted the spectral values from blue to middle infrared bands for each burned and unburned site. In addition, we investigated the time series associated spectral indices for each site to determine how long spectral changes can be noticed immediately following fire incidents. Our research discovered that vegetation regrowth occurred rapidly (within two months), ob...

IOP conference series, Nov 1, 2022

The relocation of the Indonesian capital from Jakarta to Ibu Kota Nusantara (IKN) East Kalimantan... more The relocation of the Indonesian capital from Jakarta to Ibu Kota Nusantara (IKN) East Kalimantan IKN will affect several sectors. The change in land use from vegetated to developed land will lead to local climate changes, including the emergence of the urban heat island (UHI) phenomenon, which is reflected in a higher land surface temperature (LST) than the surrounding area. In this study, an analysis of UHI propagation was conducted on a seasonal (DJF, MAM, JJA, and SON), with 5 yearly periods from 2001 to 2020, study area in IKN and its buffer cities (Balikpapan, Samarinda, and Bontang). Terra-MODIS satellite data are processed using Google Earth Engine (GEE) platform and output is done using GrADS. UHI (high LST) is found in urban areas/buffer cities both spatially and temporally in every season, while UHI has not yet occurred in IKN (low LST) and suburban, rural, hilly areas, vegetated areas, and water bodies (lakes, rivers). The cross-sectional latitudinal and longitudinal ana...

AGU Fall Meeting Abstracts, Dec 1, 2020

Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital, Dec 31, 2019

IOP Conference Series: Earth and Environmental Science, 2019

Landsat-8 has various channels that function to identify an object. The vegetation index algorith... more Landsat-8 has various channels that function to identify an object. The vegetation index algorithm which is based on remote sensing involves several bands and can describe the percentage of canopy and density of vegetation. More than 100 vegetation index algorithms and each can be used in accordance with the research objectives. In this paper we will discuss the utilization of Landsat-8 metric data with the parameters of Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) and several parameters in metric data with various features to produce indications of rapid land change, especially to detect changes in tree cover area to lose tree cover and vice versa. For this purpose, the annual Landsat-8 metrics data is located in Riau Province. To compare both NDVI and NBR parameters, the trial and error method is used and the results are compared visually to the two different images of the year. The result is that the NBR parameters with a maximum-70 feature and th...

Jurnal …, 2010

Segara Anakan and its surrounding which is located in Cilacap Regency Central of Java, is the stu... more Segara Anakan and its surrounding which is located in Cilacap Regency Central of Java, is the study area for this research. This region, like other estuaries, has a unique ecosystem which is protected and surrounded by the mangrove forest that can cause very dynamic ...

IOP Conference Series: Earth and Environmental Science

Kelapa sawit (Elaeis guineensis Jack) merupakan salah satu tanaman pohon tropis yang paling penti... more Kelapa sawit (Elaeis guineensis Jack) merupakan salah satu tanaman pohon tropis yang paling penting di dunia.Produksi minyak kelapa sawit telah meningkat spektakuler dalam 20 tahun terakhir, terutama di Malaysia dan Indonesia.informasi mengenai umur kelapa sawit merupakan informasi yang penting untuk mengetahui besar produksi yang akan dihasilkan. Penginderaan Jauh memiliki potensi signifikan untuk membantu pemantauan pertumbuhan kelapa sawit dan upaya identifikasi umurnya.Penelitian ini bertujuan untuk mengembangkan metode untuk menganalisa pertumbuhan kelapa sawit dan menghasilkan profil pertumbuhannya dengan menggunakan data satelit Landsat. Area kajian adalah PTPN 13, Perkebunan kelapa sawit di Pelaihari di Kabupaten Tanah Laut Kalimantan Selatan. Data utama yang digunakan adalah Landsat 8 dan data pendukung LS7 dan SPOT 6. Analisa dilakukan dengan melakukan pengumpulan data lapangan dan peta kalender tanam.Selanjutnya dilakukan ektraksi beberapa parameter vegetasi. Dari hasil p...

Geomatics

This article demonstrated an easily applicable method for measuring the similarity between a pair... more This article demonstrated an easily applicable method for measuring the similarity between a pair of point patterns, which applies to spatial or temporal data sets. Such a measurement was performed using similarity-based pattern analysis as an alternative to conventional approaches, which typically utilize straightforward point-to-point matching. Using our approach, in each point data set, two geometric features (i.e., the distance and angle from the centroid) were calculated and represented as probability density functions (PDFs). The PDF similarity of each geometric feature was measured using nine metrics, with values ranging from zero (very contrasting) to one (exactly the same). The overall similarity was defined as the average of the distance and angle similarities. In terms of sensibility, the method was shown to be capable of measuring, at a human visual sensing level, two pairs of hypothetical patterns, presenting reasonable results. Meanwhile, in terms of the method′s sensi...

Vegetation height is an important parameter in monitoring peatlands. Vegetation height can be est... more Vegetation height is an important parameter in monitoring peatlands. Vegetation height can be estimated using remote sensing. Vegetation height can be estimated by utilizing DSM and DTM. The data that can be used are LiDAR, X-SAR, and SRTM C. In this study, LiDAR data is used for DSM2018 and DTM2018 extraction. This research aims to detect the vegetation height in Central Kalimantan peatlands using remote sensing technology. The research location is in Bakengbongkei, Kalampangan, Central Kalimantan. The integration of X-SAR and SRTM C is used for DSM2000 and DTM2000 extraction. DSM2000, DTM2000, DSM2018, and DTM2018 performed height error correction with tolerance of 1.96σ (95%). Then do the geoid undulation correction to EGM2008. The results obtained are DSM and DTM with a similar height reference field. If it meets these conditions, it can be calculated the vegetation height estimation. Vegetation height can be obtained using the Differential DEM method. The Changing in vegetation...

Information on land cover change is very important for various purposes, including the monitoring... more Information on land cover change is very important for various purposes, including the monitoring of changes for environmental sustainability. The objective of this study is to create a monitoring model of land cover change for the indication of devegetation and revegetation using data from Sentinel-2 from 2017 to 2018 of the Brantas watershed. This is one of the priority watersheds in Indonesia, so it is necessary to observe changes in its environment, including land cover change. Such change can be detected using remote sensing data. The method used is a hybrid between Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) which aims to detect land changes with a focus on devegetation and revegetation by determining the threshold value for vegetation index (ΔNDVI) and open land index (ΔNBR). The study found that the best thresholds to detect revegetation were  NDVI > 0.0309 and NBR < 0.0176 and to detect devegetation  NDVI < 0.0206 and NBR > ...

IOP Conference Series: Earth and Environmental Science, Aug 12, 2019

World production of palm oil increased spectacularly in the last 20 years, especially in Indonesi... more World production of palm oil increased spectacularly in the last 20 years, especially in Indonesia and Malaysia. As the largest producer, good management in oil palm plantation is very important, the expansion of plantation also must be well planned, because its existence must not affect the surrounding environment. Therefore the information of oil palm age or condition of their growth is needed. Remote sensing has significant potential to aid oil palm monitoring and detection effort. It also provides a cost-effective method to these purpose and at same time provides side specific assessments of management areas, Synthetic Aperture Radar (SAR) is crucial for this task. The SAR is an active sensor that operates in all weather condition and daylight independent delivering information all year around at the time that is needed. SAR is sensitive to texture, size and orientation of structural objects, moisture content and ground conditions. This study has objectives to compare the methods that have been developed to monitor oil palm by using optic data and SAR data. The data that used are Landsat 8 and Sentinel-1.The study area is Asahan district North Sumatera. The regression analysis by using regression method indicates that oil palm age can be monitored by using NDVI or backscatter of SAR values with growth model. The R 2 of model for Landsat 8 is 0.85 and 0.77 for Sentinel 1. Both models can be used for monitoring the condition and age of oil palm.

International Journal of Remote Sensing and Earth Sciences, 2017

Forests have important roles in terms of carbon storage and other values. Various studies have be... more Forests have important roles in terms of carbon storage and other values. Various studies have been conducted to identify and distinguish the forest from non-forest classes. Several forest types classes such as secondary forests and plantations should be distinguished related to the restoration and rehabilitation program for dealing with climate change. The study was carried out to distinguish several classes of important forests such as the primary dryland forests, secondary dryland forest, and plantation forests using Landsat 8 to develop identification techniques of specific forests classes. The study areas selected were forest areas in three districts, namely Karo, Dairi, and Samosir of North Sumatera Province. The results showed that using composite RGB 654 of Landsat 8 imagery based on test results OIF for the forest classification, the forests could be distinguished with other land covers. Digital classification can be combined with the visual classification known as a hybrid...

International Journal of Remote Sensing and Earth Sciences (IJReSES)

Multi-temporal classification is a method to determine forest and non-forest by considering a mis... more Multi-temporal classification is a method to determine forest and non-forest by considering a missing data, such as cloud cover using correlations value from the other data. This circumstances is frequently occured in a tropical area such as in Indonesia. To gain an optimum result of forest and non-forest classification, it is needed a stratification zone that describes the difference of vegetation condition due to different of vegetation type, soil type, climate, and land use/cover associations. This stratification zone will be useful to indicate the different biomass volume relating to carbon content for supporting the REDD+ project. The objective of this study was to determine stratification boundary by performing multi temporal classification in Sumatera Island using Landsat imagery in 25 meter resolution and Quick Bird imagery in 0.6 meter. Rough stratification was made by considering land use/cover, DEM and landform, using visual interpretation of moderate spatial resolu...

Jurnal Penginderaan Jauh Dan Pengolahan Data Citra Digital, Oct 12, 2010

IOP Conference Series: Earth and Environmental Science

Peat fires in Indonesia frequently result in ecological degradation and loss. Public attention ha... more Peat fires in Indonesia frequently result in ecological degradation and loss. Public attention has shifted to savanna fires, which are usually overlooked but have increased in frequency in recent years, surpassing the area of controlled peat fires in Indonesia. Mapping the short-lived burns in Indonesia’s savanna is challenging. Only a few studies have examined fires in the Indonesian savanna, specifically the spectral responses associated with fires. Our study aims to analyse spectral changes caused by fires in Sumba Island, East Nusa Tenggara, Indonesia using field data and satellite images (Sentinel-2 and Landsat 8). We plotted the spectral values from blue to middle infrared bands for each burned and unburned site. In addition, we investigated the time series associated spectral indices for each site to determine how long spectral changes can be noticed immediately following fire incidents. Our research discovered that vegetation regrowth occurred rapidly (within two months), ob...

IOP conference series, Nov 1, 2022

The relocation of the Indonesian capital from Jakarta to Ibu Kota Nusantara (IKN) East Kalimantan... more The relocation of the Indonesian capital from Jakarta to Ibu Kota Nusantara (IKN) East Kalimantan IKN will affect several sectors. The change in land use from vegetated to developed land will lead to local climate changes, including the emergence of the urban heat island (UHI) phenomenon, which is reflected in a higher land surface temperature (LST) than the surrounding area. In this study, an analysis of UHI propagation was conducted on a seasonal (DJF, MAM, JJA, and SON), with 5 yearly periods from 2001 to 2020, study area in IKN and its buffer cities (Balikpapan, Samarinda, and Bontang). Terra-MODIS satellite data are processed using Google Earth Engine (GEE) platform and output is done using GrADS. UHI (high LST) is found in urban areas/buffer cities both spatially and temporally in every season, while UHI has not yet occurred in IKN (low LST) and suburban, rural, hilly areas, vegetated areas, and water bodies (lakes, rivers). The cross-sectional latitudinal and longitudinal ana...

AGU Fall Meeting Abstracts, Dec 1, 2020

Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital, Dec 31, 2019

IOP Conference Series: Earth and Environmental Science, 2019

Landsat-8 has various channels that function to identify an object. The vegetation index algorith... more Landsat-8 has various channels that function to identify an object. The vegetation index algorithm which is based on remote sensing involves several bands and can describe the percentage of canopy and density of vegetation. More than 100 vegetation index algorithms and each can be used in accordance with the research objectives. In this paper we will discuss the utilization of Landsat-8 metric data with the parameters of Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) and several parameters in metric data with various features to produce indications of rapid land change, especially to detect changes in tree cover area to lose tree cover and vice versa. For this purpose, the annual Landsat-8 metrics data is located in Riau Province. To compare both NDVI and NBR parameters, the trial and error method is used and the results are compared visually to the two different images of the year. The result is that the NBR parameters with a maximum-70 feature and th...

Jurnal …, 2010

Segara Anakan and its surrounding which is located in Cilacap Regency Central of Java, is the stu... more Segara Anakan and its surrounding which is located in Cilacap Regency Central of Java, is the study area for this research. This region, like other estuaries, has a unique ecosystem which is protected and surrounded by the mangrove forest that can cause very dynamic ...

IOP Conference Series: Earth and Environmental Science

Kelapa sawit (Elaeis guineensis Jack) merupakan salah satu tanaman pohon tropis yang paling penti... more Kelapa sawit (Elaeis guineensis Jack) merupakan salah satu tanaman pohon tropis yang paling penting di dunia.Produksi minyak kelapa sawit telah meningkat spektakuler dalam 20 tahun terakhir, terutama di Malaysia dan Indonesia.informasi mengenai umur kelapa sawit merupakan informasi yang penting untuk mengetahui besar produksi yang akan dihasilkan. Penginderaan Jauh memiliki potensi signifikan untuk membantu pemantauan pertumbuhan kelapa sawit dan upaya identifikasi umurnya.Penelitian ini bertujuan untuk mengembangkan metode untuk menganalisa pertumbuhan kelapa sawit dan menghasilkan profil pertumbuhannya dengan menggunakan data satelit Landsat. Area kajian adalah PTPN 13, Perkebunan kelapa sawit di Pelaihari di Kabupaten Tanah Laut Kalimantan Selatan. Data utama yang digunakan adalah Landsat 8 dan data pendukung LS7 dan SPOT 6. Analisa dilakukan dengan melakukan pengumpulan data lapangan dan peta kalender tanam.Selanjutnya dilakukan ektraksi beberapa parameter vegetasi. Dari hasil p...

Geomatics

This article demonstrated an easily applicable method for measuring the similarity between a pair... more This article demonstrated an easily applicable method for measuring the similarity between a pair of point patterns, which applies to spatial or temporal data sets. Such a measurement was performed using similarity-based pattern analysis as an alternative to conventional approaches, which typically utilize straightforward point-to-point matching. Using our approach, in each point data set, two geometric features (i.e., the distance and angle from the centroid) were calculated and represented as probability density functions (PDFs). The PDF similarity of each geometric feature was measured using nine metrics, with values ranging from zero (very contrasting) to one (exactly the same). The overall similarity was defined as the average of the distance and angle similarities. In terms of sensibility, the method was shown to be capable of measuring, at a human visual sensing level, two pairs of hypothetical patterns, presenting reasonable results. Meanwhile, in terms of the method′s sensi...

Vegetation height is an important parameter in monitoring peatlands. Vegetation height can be est... more Vegetation height is an important parameter in monitoring peatlands. Vegetation height can be estimated using remote sensing. Vegetation height can be estimated by utilizing DSM and DTM. The data that can be used are LiDAR, X-SAR, and SRTM C. In this study, LiDAR data is used for DSM2018 and DTM2018 extraction. This research aims to detect the vegetation height in Central Kalimantan peatlands using remote sensing technology. The research location is in Bakengbongkei, Kalampangan, Central Kalimantan. The integration of X-SAR and SRTM C is used for DSM2000 and DTM2000 extraction. DSM2000, DTM2000, DSM2018, and DTM2018 performed height error correction with tolerance of 1.96σ (95%). Then do the geoid undulation correction to EGM2008. The results obtained are DSM and DTM with a similar height reference field. If it meets these conditions, it can be calculated the vegetation height estimation. Vegetation height can be obtained using the Differential DEM method. The Changing in vegetation...

Information on land cover change is very important for various purposes, including the monitoring... more Information on land cover change is very important for various purposes, including the monitoring of changes for environmental sustainability. The objective of this study is to create a monitoring model of land cover change for the indication of devegetation and revegetation using data from Sentinel-2 from 2017 to 2018 of the Brantas watershed. This is one of the priority watersheds in Indonesia, so it is necessary to observe changes in its environment, including land cover change. Such change can be detected using remote sensing data. The method used is a hybrid between Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) which aims to detect land changes with a focus on devegetation and revegetation by determining the threshold value for vegetation index (ΔNDVI) and open land index (ΔNBR). The study found that the best thresholds to detect revegetation were  NDVI > 0.0309 and NBR < 0.0176 and to detect devegetation  NDVI < 0.0206 and NBR > ...

IOP Conference Series: Earth and Environmental Science, Aug 12, 2019

World production of palm oil increased spectacularly in the last 20 years, especially in Indonesi... more World production of palm oil increased spectacularly in the last 20 years, especially in Indonesia and Malaysia. As the largest producer, good management in oil palm plantation is very important, the expansion of plantation also must be well planned, because its existence must not affect the surrounding environment. Therefore the information of oil palm age or condition of their growth is needed. Remote sensing has significant potential to aid oil palm monitoring and detection effort. It also provides a cost-effective method to these purpose and at same time provides side specific assessments of management areas, Synthetic Aperture Radar (SAR) is crucial for this task. The SAR is an active sensor that operates in all weather condition and daylight independent delivering information all year around at the time that is needed. SAR is sensitive to texture, size and orientation of structural objects, moisture content and ground conditions. This study has objectives to compare the methods that have been developed to monitor oil palm by using optic data and SAR data. The data that used are Landsat 8 and Sentinel-1.The study area is Asahan district North Sumatera. The regression analysis by using regression method indicates that oil palm age can be monitored by using NDVI or backscatter of SAR values with growth model. The R 2 of model for Landsat 8 is 0.85 and 0.77 for Sentinel 1. Both models can be used for monitoring the condition and age of oil palm.

International Journal of Remote Sensing and Earth Sciences, 2017

Forests have important roles in terms of carbon storage and other values. Various studies have be... more Forests have important roles in terms of carbon storage and other values. Various studies have been conducted to identify and distinguish the forest from non-forest classes. Several forest types classes such as secondary forests and plantations should be distinguished related to the restoration and rehabilitation program for dealing with climate change. The study was carried out to distinguish several classes of important forests such as the primary dryland forests, secondary dryland forest, and plantation forests using Landsat 8 to develop identification techniques of specific forests classes. The study areas selected were forest areas in three districts, namely Karo, Dairi, and Samosir of North Sumatera Province. The results showed that using composite RGB 654 of Landsat 8 imagery based on test results OIF for the forest classification, the forests could be distinguished with other land covers. Digital classification can be combined with the visual classification known as a hybrid...

International Journal of Remote Sensing and Earth Sciences (IJReSES)

Multi-temporal classification is a method to determine forest and non-forest by considering a mis... more Multi-temporal classification is a method to determine forest and non-forest by considering a missing data, such as cloud cover using correlations value from the other data. This circumstances is frequently occured in a tropical area such as in Indonesia. To gain an optimum result of forest and non-forest classification, it is needed a stratification zone that describes the difference of vegetation condition due to different of vegetation type, soil type, climate, and land use/cover associations. This stratification zone will be useful to indicate the different biomass volume relating to carbon content for supporting the REDD+ project. The objective of this study was to determine stratification boundary by performing multi temporal classification in Sumatera Island using Landsat imagery in 25 meter resolution and Quick Bird imagery in 0.6 meter. Rough stratification was made by considering land use/cover, DEM and landform, using visual interpretation of moderate spatial resolu...

Jurnal Penginderaan Jauh Dan Pengolahan Data Citra Digital, Oct 12, 2010