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Papers by Alvin Fatikhunnada

IOP Conference Series: Materials Science and Engineering, Jun 28, 2019

Information about rice productivity is one of the references for government to maintain food avai... more Information about rice productivity is one of the references for government to maintain food availability. With remote sensing technology, rice productivity can be known faster. This research was conducted using UAV (Unmanned Aerial Vehicle) and Sentinel-2 Satellite. Sentinel-2 NDVI which has a low resolution with high resolution UAV images, both variables have similarity values and regression reaches 0.8. NDVI are grouped into 8 classes using kmeans clustering based on the similarity of the waveforms of each data retrieval point. Based on characteristic of k-means classes, field which has earlier planting times and the location closer to the water source, allowing a higher paddy productivity. Further analysis was also carried out to get the best period to estimate paddy productivity using Sentinel-2 imagery. Sentinel-2 was chosen because it has a distance between data as far as 5 days, allowing it to be more accurate. The best time is obtained at 63 DAP (Days After Planting), which is when NDVI reaches its maximum state. The estimation model of rice productivity based on UAV has a high coefficient of determination compared to Sentinel-2 so that the relationship between maximum NDVI UAV and rice productivity is better than Sentinel-2.

TELKOMNIKA Telecommunication Computing Electronics and Control, 2018

Spatiotemporal analysis of MODIS Vegetation Index Imagery widely used for vegetation seasonal map... more Spatiotemporal analysis of MODIS Vegetation Index Imagery widely used for vegetation seasonal mapping both on forest and agricultural site. In order to provide a long-terms of vegetation characteristic maps, a wide time-series images analysis is needed which require high-performance computer and also consumes a lot of energy resources. Meanwhile, for agriculture monitoring purpose in Indonesia, that analysis has to be employed gradually and endlessly to provide the latest condition of paddy field vegetation information. This research is aimed to develop a method to produce the optimized solution in classifying vegetation of paddy fields that diverse both spatial and temporal characteristics. The time-series EVI data from MODIS have been filtered using wavelet transform to reduce noise that caused by cloud. Sequential K-means and Parallel K-means unsupervised classification method were used in both CPU and GPU to find the efficient and the robust result. The developed method has been...

Remote Sensing Applications: Society and Environment, 2020

Abstract Intensive paddy cropping in Java island has an intricate pattern both in spatial and tem... more Abstract Intensive paddy cropping in Java island has an intricate pattern both in spatial and temporal distribution due to landscape and scheduling complexity, in this case the temporal pattern is a key factor in predicting the paddy cropping season. Cropping pattern relevant to the temporal vegetation indices which can be obtained from MODIS temporal imagery. Monitoring of the cropping pattern is a critical factor in preserving the national food security of Indonesia. Remote sensing can be used as an alternative solution to monitor paddy cropping pattern by incorporating statistics analysis and signal processing methods into pre-processing and classification techniques. The main focus of this research is to evaluate the combination of those techniques implemented in MODIS images to classify the annual cropping patterns of paddy crop in Java island. The evaluated techniques involve combinations of four parameters including (1) temporal reconstruction (R0: untreated; R1: linear interpolation), (2) noise reduction (F0: untreated; F1: band-pass FFT; F2: wavelet filter), (3) unsupervised k-means classification using distance parameters (D1: Euclidean; D2: Mahalanobis), and (4) k number of classes (64, 128, 256). The classification validation was evaluated based on the paddy field site visit in several locations across Java island from the years of 2014 until 2017. The best combination (R1-F1-D1-256, the score of 74.5) was determined by the average score calculated from overall classification accuracy, percentage normality of class member, and the average correlation of class member. This combination can describe the highest number of cropping patterns (i.e., 26 patterns) that cover four types of paddy cropping systems (i.e., non-paddy, single paddy cropping, double paddy cropping, and triple paddy cropping). This selected technique can also be used to calculate the annual paddy cropping area.

Procedia Environmental Sciences, 2016

Abstract Nowadays, drought phenomenon occurred in several area in Indonesia. The length of the dr... more Abstract Nowadays, drought phenomenon occurred in several area in Indonesia. The length of the dry season, especially in the southern equatorial allegedly caused by El Nino phenomenon. This causes crop failures in many center area of agriculture. West Java Province as one of the centers of agricultural activities in Indonesia experienced a severe drought within a period of 6 months (April-September in 2003). The monitoring of drought is useful to understanding the characterization of drought itself. In the next period, we can decide what should we do to decreased the impact of this phenomenon. The study aimed to implement Breaks for Additive Seasonal and Trend (BFAST) algorithm for detecting and monitoring paddy field areas experiencing drought in The West Java during the period 2000-2015. This study used remote sensing data to study the response of vegetation on the drought phenomenon. MODIS EVI time series were decomposed into seasonal, trend, and remainder component using BFAST which enables the detection of trend changes within the time series. The result of study shows that BFAST able to detect drought in MODIS EVI time series. The result also compared to a new drought index, called SPEI.

Sustainability

Food security is often threatened by droughts during rice production. Although most of the rice i... more Food security is often threatened by droughts during rice production. Although most of the rice is produced in lowland or irrigated “wet” rice fields, terraced paddy fields are important in the rice production system in island or mountainous countries. With the intensifying frequency of El Niño periods in recent decades, there has been a risk of droughts in terraced paddy areas. To mitigate drought, remote sensing data analysis could be an efficient and reliable tool for obtaining scarce ground monitoring data. In this study, crop water stress index (CWSI) and temperature vegetation dryness index (TVDI) were applied to evaluate the drought intensity, and hydrological monitoring data was provided as a support for the evaluation. The results indicated that droughts normally occurred during the dry season, and intensified during El Niño periods. CWSI and TVDI were visible to predict drought occurrences in the watershed area. TVDI overestimated the drought inside Keduang watershed compa...

IOP Conference Series: Earth and Environmental Science, 2017

Procedia Environmental Sciences, 2016

Paddy field conversion that occurs continuously in East Java will have an impact on the productio... more Paddy field conversion that occurs continuously in East Java will have an impact on the production of paddy fields. Mapping the dynamics pattern of paddy field utilization is needed to support the sustainable usage of paddy field. This study conducted to explain the dynamics pattern of paddy field utilization using MODIS image MOD13Q1 h2v9 with EVI composite 16-day resolution of 250 meters data. Analysis of the temporal pattern of the year 2000-2014 conducted by the method of autocorrelation function of each centroid classification results k-mean clustering that produces changes in the cropping pattern at the province of East Java. Ground check performed as a validation of the field to determine cropping patterns and land use changes that occurred. Identification of the cropping pattern produces nine types of cropping pattern of paddy fields in East Java, there are five main cropping patterns paddy-paddy-secondary crop, paddy-paddy-bare land, paddy-secondary crop-secondary crop, paddy-secondary crop-bare land, and sugarcane then four other pattern are mixing crop, and 57.70% identification accuracy results.

Procedia Environmental Sciences, 2016

IOP Conference Series: Earth and Environmental Science, 2017

Procedia Environmental Sciences, 2016

Abstract Indonesia has a role of paddy fields as the main resources in agricultural activities. R... more Abstract Indonesia has a role of paddy fields as the main resources in agricultural activities. Rice is the staple food of more than half of the Indonesia's population. It makes a high demand of rice in Indonesia. Meanwhile, Indonesia has experienced by the paddy field conversion, so that the monitoring of the fields is necessary. An advance remote sensing technology is a powerful tool to provide accurate and up-to-date information of dynamics change in the paddy fields immediately. The main objective of this study is to develop a reliable system that can monitor the changes in paddy fields. The system was developed using the time-series of MODIS datasets through a graphical user interface (GUI) of Matlab. MODIS product used is MOD13Q1, which take daily vegetation index data to display seasonal dynamics pattern of rice fields. As the time series data has still contains a residual noise, therefore a correction signal by wavelet coiflet transformation filter applied before the further analysis. The crop pattern clustering was done by k-mean method to get the same group of cropping pattern, including the intensity and their changes. As the results, a graphical user interface (GUI) in Matlab software is developed, which has the time of data processing faster than the conventional data processing.

Procedia Environmental Sciences, 2016

IOP Conference Series: Materials Science and Engineering, Jun 28, 2019

Information about rice productivity is one of the references for government to maintain food avai... more Information about rice productivity is one of the references for government to maintain food availability. With remote sensing technology, rice productivity can be known faster. This research was conducted using UAV (Unmanned Aerial Vehicle) and Sentinel-2 Satellite. Sentinel-2 NDVI which has a low resolution with high resolution UAV images, both variables have similarity values and regression reaches 0.8. NDVI are grouped into 8 classes using kmeans clustering based on the similarity of the waveforms of each data retrieval point. Based on characteristic of k-means classes, field which has earlier planting times and the location closer to the water source, allowing a higher paddy productivity. Further analysis was also carried out to get the best period to estimate paddy productivity using Sentinel-2 imagery. Sentinel-2 was chosen because it has a distance between data as far as 5 days, allowing it to be more accurate. The best time is obtained at 63 DAP (Days After Planting), which is when NDVI reaches its maximum state. The estimation model of rice productivity based on UAV has a high coefficient of determination compared to Sentinel-2 so that the relationship between maximum NDVI UAV and rice productivity is better than Sentinel-2.

TELKOMNIKA Telecommunication Computing Electronics and Control, 2018

Spatiotemporal analysis of MODIS Vegetation Index Imagery widely used for vegetation seasonal map... more Spatiotemporal analysis of MODIS Vegetation Index Imagery widely used for vegetation seasonal mapping both on forest and agricultural site. In order to provide a long-terms of vegetation characteristic maps, a wide time-series images analysis is needed which require high-performance computer and also consumes a lot of energy resources. Meanwhile, for agriculture monitoring purpose in Indonesia, that analysis has to be employed gradually and endlessly to provide the latest condition of paddy field vegetation information. This research is aimed to develop a method to produce the optimized solution in classifying vegetation of paddy fields that diverse both spatial and temporal characteristics. The time-series EVI data from MODIS have been filtered using wavelet transform to reduce noise that caused by cloud. Sequential K-means and Parallel K-means unsupervised classification method were used in both CPU and GPU to find the efficient and the robust result. The developed method has been...

Remote Sensing Applications: Society and Environment, 2020

Abstract Intensive paddy cropping in Java island has an intricate pattern both in spatial and tem... more Abstract Intensive paddy cropping in Java island has an intricate pattern both in spatial and temporal distribution due to landscape and scheduling complexity, in this case the temporal pattern is a key factor in predicting the paddy cropping season. Cropping pattern relevant to the temporal vegetation indices which can be obtained from MODIS temporal imagery. Monitoring of the cropping pattern is a critical factor in preserving the national food security of Indonesia. Remote sensing can be used as an alternative solution to monitor paddy cropping pattern by incorporating statistics analysis and signal processing methods into pre-processing and classification techniques. The main focus of this research is to evaluate the combination of those techniques implemented in MODIS images to classify the annual cropping patterns of paddy crop in Java island. The evaluated techniques involve combinations of four parameters including (1) temporal reconstruction (R0: untreated; R1: linear interpolation), (2) noise reduction (F0: untreated; F1: band-pass FFT; F2: wavelet filter), (3) unsupervised k-means classification using distance parameters (D1: Euclidean; D2: Mahalanobis), and (4) k number of classes (64, 128, 256). The classification validation was evaluated based on the paddy field site visit in several locations across Java island from the years of 2014 until 2017. The best combination (R1-F1-D1-256, the score of 74.5) was determined by the average score calculated from overall classification accuracy, percentage normality of class member, and the average correlation of class member. This combination can describe the highest number of cropping patterns (i.e., 26 patterns) that cover four types of paddy cropping systems (i.e., non-paddy, single paddy cropping, double paddy cropping, and triple paddy cropping). This selected technique can also be used to calculate the annual paddy cropping area.

Procedia Environmental Sciences, 2016

Abstract Nowadays, drought phenomenon occurred in several area in Indonesia. The length of the dr... more Abstract Nowadays, drought phenomenon occurred in several area in Indonesia. The length of the dry season, especially in the southern equatorial allegedly caused by El Nino phenomenon. This causes crop failures in many center area of agriculture. West Java Province as one of the centers of agricultural activities in Indonesia experienced a severe drought within a period of 6 months (April-September in 2003). The monitoring of drought is useful to understanding the characterization of drought itself. In the next period, we can decide what should we do to decreased the impact of this phenomenon. The study aimed to implement Breaks for Additive Seasonal and Trend (BFAST) algorithm for detecting and monitoring paddy field areas experiencing drought in The West Java during the period 2000-2015. This study used remote sensing data to study the response of vegetation on the drought phenomenon. MODIS EVI time series were decomposed into seasonal, trend, and remainder component using BFAST which enables the detection of trend changes within the time series. The result of study shows that BFAST able to detect drought in MODIS EVI time series. The result also compared to a new drought index, called SPEI.

Sustainability

Food security is often threatened by droughts during rice production. Although most of the rice i... more Food security is often threatened by droughts during rice production. Although most of the rice is produced in lowland or irrigated “wet” rice fields, terraced paddy fields are important in the rice production system in island or mountainous countries. With the intensifying frequency of El Niño periods in recent decades, there has been a risk of droughts in terraced paddy areas. To mitigate drought, remote sensing data analysis could be an efficient and reliable tool for obtaining scarce ground monitoring data. In this study, crop water stress index (CWSI) and temperature vegetation dryness index (TVDI) were applied to evaluate the drought intensity, and hydrological monitoring data was provided as a support for the evaluation. The results indicated that droughts normally occurred during the dry season, and intensified during El Niño periods. CWSI and TVDI were visible to predict drought occurrences in the watershed area. TVDI overestimated the drought inside Keduang watershed compa...

IOP Conference Series: Earth and Environmental Science, 2017

Procedia Environmental Sciences, 2016

Paddy field conversion that occurs continuously in East Java will have an impact on the productio... more Paddy field conversion that occurs continuously in East Java will have an impact on the production of paddy fields. Mapping the dynamics pattern of paddy field utilization is needed to support the sustainable usage of paddy field. This study conducted to explain the dynamics pattern of paddy field utilization using MODIS image MOD13Q1 h2v9 with EVI composite 16-day resolution of 250 meters data. Analysis of the temporal pattern of the year 2000-2014 conducted by the method of autocorrelation function of each centroid classification results k-mean clustering that produces changes in the cropping pattern at the province of East Java. Ground check performed as a validation of the field to determine cropping patterns and land use changes that occurred. Identification of the cropping pattern produces nine types of cropping pattern of paddy fields in East Java, there are five main cropping patterns paddy-paddy-secondary crop, paddy-paddy-bare land, paddy-secondary crop-secondary crop, paddy-secondary crop-bare land, and sugarcane then four other pattern are mixing crop, and 57.70% identification accuracy results.

Procedia Environmental Sciences, 2016

IOP Conference Series: Earth and Environmental Science, 2017

Procedia Environmental Sciences, 2016

Abstract Indonesia has a role of paddy fields as the main resources in agricultural activities. R... more Abstract Indonesia has a role of paddy fields as the main resources in agricultural activities. Rice is the staple food of more than half of the Indonesia's population. It makes a high demand of rice in Indonesia. Meanwhile, Indonesia has experienced by the paddy field conversion, so that the monitoring of the fields is necessary. An advance remote sensing technology is a powerful tool to provide accurate and up-to-date information of dynamics change in the paddy fields immediately. The main objective of this study is to develop a reliable system that can monitor the changes in paddy fields. The system was developed using the time-series of MODIS datasets through a graphical user interface (GUI) of Matlab. MODIS product used is MOD13Q1, which take daily vegetation index data to display seasonal dynamics pattern of rice fields. As the time series data has still contains a residual noise, therefore a correction signal by wavelet coiflet transformation filter applied before the further analysis. The crop pattern clustering was done by k-mean method to get the same group of cropping pattern, including the intensity and their changes. As the results, a graphical user interface (GUI) in Matlab software is developed, which has the time of data processing faster than the conventional data processing.

Procedia Environmental Sciences, 2016