{"id":136904,"date":"2021-04-29T08:03:29","date_gmt":"2021-04-29T08:03:29","guid":{"rendered":"https:\/\/lulcc.ipb.ac.id\/home\/?page_id=136904"},"modified":"2021-05-22T00:44:11","modified_gmt":"2021-05-21T17:44:11","slug":"publication","status":"publish","type":"page","link":"https:\/\/lulcc.ipb.ac.id\/home\/publication\/","title":{"rendered":"Publication"},"content":{"rendered":"<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><div class=\"teachpress_cloud\"><span style=\"font-size:35px;\"><a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=2&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"1 publication\" class=\"\">cloud computing<\/a><\/span> <span style=\"font-size:35px;\"><a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=5&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"1 publication\" class=\"\">coffee<\/a><\/span> <span style=\"font-size:35px;\"><a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=6&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"1 publication\" class=\"\">gayo<\/a><\/span> <span style=\"font-size:35px;\"><a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=1&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"1 publication\" class=\"\">GEE<\/a><\/span> <span style=\"font-size:35px;\"><a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=4&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"1 publication\" class=\"\">land use<\/a><\/span> <span style=\"font-size:35px;\"><a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=3&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"1 publication\" class=\"\">webGIS<\/a><\/span> <\/div><div class=\"teachpress_filter\"><select class=\"default\" name=\"yr\" id=\"yr\" tabindex=\"2\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/lulcc.ipb.ac.id\/home\/publication\/?')\">\r\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\">All years<\/option>\r\n                   <option value = \"tgid=&amp;yr=2021&amp;type=&amp;usr=&amp;auth=#tppubs\" >2021<\/option><option value = \"tgid=&amp;yr=2020&amp;type=&amp;usr=&amp;auth=#tppubs\" >2020<\/option>\r\n                <\/select><select class=\"default\" name=\"type\" id=\"type\" tabindex=\"3\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/lulcc.ipb.ac.id\/home\/publication\/?')\">\r\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\">All types<\/option>\r\n                   <option value = \"tgid=&amp;yr=&amp;type=article&amp;usr=&amp;auth=#tppubs\" >Journal Articles<\/option><option value = \"tgid=&amp;yr=&amp;type=unpublished&amp;usr=&amp;auth=#tppubs\" >Unpublished<\/option>\r\n                <\/select><select class=\"default\" name=\"auth\" id=\"auth\" tabindex=\"5\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/lulcc.ipb.ac.id\/home\/publication\/?')\">\r\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\">All authors<\/option>\r\n                   <option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=9#tppubs\" > Bantacut, Tajudin<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=1#tppubs\" > Condro, Aryo Adhi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=7#tppubs\" > Liyantono, <\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=4#tppubs\" > Pramulya, Rahmat<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=3#tppubs\" > Prasetyo, Lilik Budi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=8#tppubs\" > Pulunggono, Heru Bagus<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=6#tppubs\" > Purwonegoro, Benni<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=2#tppubs\" > Setiawan, Yudi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=5#tppubs\" > Siahaan, Lasriama<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=10#tppubs\" > Zulfajrin, Moh<\/option>\r\n                <\/select><select class=\"default\" name=\"usr\" id=\"usr\" tabindex=\"6\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/lulcc.ipb.ac.id\/home\/publication\/?')\">\r\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\">All users<\/option>\r\n                   \r\n                <\/select><\/div><\/form><table class=\"teachpress_publication_list\"><tr>\r\n                    <td>\r\n                        <h3 class=\"tp_h3\" id=\"tp_h3_2021\">2021<\/h3>\r\n                    <\/td>\r\n                <\/tr><tr class=\"tp_publication tp_publication_unpublished\"><td class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Purwonegoro, Benni;  Liyantono, ;  Setiawan, Yudi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2','tp_links')\" style=\"cursor:pointer;\">WEBGIS APPLICATION FOR MONITORING LAND USE CHANGE IN  INDONESIA<\/a> <span class=\"tp_pub_type unpublished\">Unpublished<\/span> <span class=\"tp_pub_label_status forthcoming\">Forthcoming<\/span><\/p><p class=\"tp_pub_additional\">Forthcoming.<\/p><p class=\"tp_pub_tags\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | Tags: <a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=4#tppubs\" title=\"Show all publications which have a relationship to this tag\">land use<\/a>, <a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=3#tppubs\" title=\"Show all publications which have a relationship to this tag\">webGIS<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2\" style=\"display:none;\"><div class=\"tp_bibtex_entry\">@unpublished{Purwonegoro2021,<br \/>\r\ntitle = {WEBGIS APPLICATION FOR MONITORING LAND USE CHANGE IN  INDONESIA},<br \/>\r\nauthor = {Benni Purwonegoro and Liyantono and Yudi Setiawan},<br \/>\r\nurl = {https:\/\/lulcc.ipb.ac.id\/home\/wp-content\/uploads\/2021\/09\/Draft_01_WebGIS-Application-for-Monitoring-Land-Use-Change-in-Indonesia_Jurnal-Globe_Benny_YS_01.pdf},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-09-14},<br \/>\r\nabstract = {Indonesia is home to the world\u2019s third largest tropical forest, It\u2019s unfortunate that forest in Indonesia has been reported as the highest deforestation. Agriculture and plantation activities considered as one of factors that cause deforestration, this research focus on monitoring 5 Commodities (Cacao, Coffe, Palm Oil, Paddy and Rubber) as a factor that causes forest loss in Indonesia. Remote Sensing (RS) and Geographic <br \/>\r\nInformation System (GIS) is state of the art tools widely used for the monitoring landuse change. Development of WebGIS on this research designed to be user friendly, up to date and can be easily integrated with other GIS system. The goverment, stakeholders and public users can monitor deforestation that caused by agriculture activities each of region in Indonesia quickly, furthermore help policy makers in providing more appropriate regulations on landuse management. From the secondary data that has been analyzed, the result show that Indonesia has forest lost 12.3 million hectares from 2000 to 2018, of which an estimated 4.1 million hectares become plantations and agricultural areas. This means, about 33.5% of those 5 commodities activities have an impact on forest loss, and the remaining around 8.2 million hectares caused by other factors.<br \/>\r\n},<br \/>\r\nkeywords = {land use, webGIS},<br \/>\r\npubstate = {forthcoming},<br \/>\r\ntppubtype = {unpublished}<br \/>\r\n}<br \/>\r\n<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_2\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Indonesia is home to the world\u2019s third largest tropical forest, It\u2019s unfortunate that forest in Indonesia has been reported as the highest deforestation. Agriculture and plantation activities considered as one of factors that cause deforestration, this research focus on monitoring 5 Commodities (Cacao, Coffe, Palm Oil, Paddy and Rubber) as a factor that causes forest loss in Indonesia. Remote Sensing (RS) and Geographic <br \/>\r\nInformation System (GIS) is state of the art tools widely used for the monitoring landuse change. Development of WebGIS on this research designed to be user friendly, up to date and can be easily integrated with other GIS system. The goverment, stakeholders and public users can monitor deforestation that caused by agriculture activities each of region in Indonesia quickly, furthermore help policy makers in providing more appropriate regulations on landuse management. From the secondary data that has been analyzed, the result show that Indonesia has forest lost 12.3 million hectares from 2000 to 2018, of which an estimated 4.1 million hectares become plantations and agricultural areas. This means, about 33.5% of those 5 commodities activities have an impact on forest loss, and the remaining around 8.2 million hectares caused by other factors.<br \/>\r\n<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/wp-content\/uploads\/2021\/09\/Draft_01_WebGIS-Application-for-Monitoring-Land-Use-Change-in-Indonesia_Jurnal-Globe_Benny_YS_01.pdf\" title=\"https:\/\/lulcc.ipb.ac.id\/home\/wp-content\/uploads\/2021\/09\/Draft_01_WebGIS-Applicat[...]\" target=\"_blank\">https:\/\/lulcc.ipb.ac.id\/home\/wp-content\/uploads\/2021\/09\/Draft_01_WebGIS-Applicat[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2','tp_links')\">Close<\/a><\/p><\/div><\/td><\/tr><tr class=\"tp_publication tp_publication_unpublished\"><td class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Pramulya, Rahmat;  Pulunggono, Heru Bagus;  Bantacut, Tajudin;  Setiawan, Yudi;  Zulfajrin, Moh<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('3','tp_links')\" style=\"cursor:pointer;\">Assesing Suitability Evaluation of Arabica Coffee on the Gayo Highlands<\/a> <span class=\"tp_pub_type unpublished\">Unpublished<\/span> <span class=\"tp_pub_label_status forthcoming\">Forthcoming<\/span><\/p><p class=\"tp_pub_additional\">Forthcoming.<\/p><p class=\"tp_pub_tags\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | Tags: <a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=5#tppubs\" title=\"Show all publications which have a relationship to this tag\">coffee<\/a>, <a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=6#tppubs\" title=\"Show all publications which have a relationship to this tag\">gayo<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_3\" style=\"display:none;\"><div class=\"tp_bibtex_entry\">@unpublished{Pramulya2021,<br \/>\r\ntitle = {Assesing Suitability Evaluation of Arabica Coffee on the Gayo Highlands},<br \/>\r\nauthor = {Rahmat Pramulya and Heru Bagus Pulunggono and Tajudin Bantacut and Yudi Setiawan and Moh Zulfajrin},<br \/>\r\nurl = {https:\/\/lulcc.ipb.ac.id\/home\/wp-content\/uploads\/2021\/09\/Draft_01_Assesing-Suitability-Evaluation-of-Arabica-Coffee-on-the-Gayo-Highlands_Agriculture-2072021.pdf},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-09-14},<br \/>\r\nabstract = {The growing interest for the arabica coffee cultivation as one of the mainstay commodities and income sources for people in Gayo Highlands requires consideration of the suitability aspect between the coffee plant requirement with the climate and land biophysical constraints. However, <br \/>\r\nthe most current Indonesian Land Suitability adopted The1976\u2019s Framework for Land Evaluation (FAO) which is containing less centralized consideration of ecological aspects. This study aims to discover the land suitability classes for coffee arabica within the Gayo Highlands and provide recommendations for each land unit with limiting factors oriented to ecological aspects, based on the Indonesian land suitability guidelines using a combination of recent and legacy field survey data, modeling, and remote sensing.},<br \/>\r\nkeywords = {coffee, gayo},<br \/>\r\npubstate = {forthcoming},<br \/>\r\ntppubtype = {unpublished}<br \/>\r\n}<br \/>\r\n<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_3\" style=\"display:none;\"><div class=\"tp_abstract_entry\">The growing interest for the arabica coffee cultivation as one of the mainstay commodities and income sources for people in Gayo Highlands requires consideration of the suitability aspect between the coffee plant requirement with the climate and land biophysical constraints. However, <br \/>\r\nthe most current Indonesian Land Suitability adopted The1976\u2019s Framework for Land Evaluation (FAO) which is containing less centralized consideration of ecological aspects. This study aims to discover the land suitability classes for coffee arabica within the Gayo Highlands and provide recommendations for each land unit with limiting factors oriented to ecological aspects, based on the Indonesian land suitability guidelines using a combination of recent and legacy field survey data, modeling, and remote sensing.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_3\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/wp-content\/uploads\/2021\/09\/Draft_01_Assesing-Suitability-Evaluation-of-Arabica-Coffee-on-the-Gayo-Highlands_Agriculture-2072021.pdf\" title=\"https:\/\/lulcc.ipb.ac.id\/home\/wp-content\/uploads\/2021\/09\/Draft_01_Assesing-Suitab[...]\" target=\"_blank\">https:\/\/lulcc.ipb.ac.id\/home\/wp-content\/uploads\/2021\/09\/Draft_01_Assesing-Suitab[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_links')\">Close<\/a><\/p><\/div><\/td><\/tr><tr>\r\n                    <td>\r\n                        <h3 class=\"tp_h3\" id=\"tp_h3_2020\">2020<\/h3>\r\n                    <\/td>\r\n                <\/tr><tr class=\"tp_publication tp_publication_article\"><td class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Condro, Aryo Adhi;  Setiawan, Yudi;  Prasetyo, Lilik Budi;  Pramulya, Rahmat;  Siahaan, Lasriama<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1','tp_links')\" style=\"cursor:pointer;\">Retrieving the National Main Commodity Maps in Indonesia Based on High-Resolution Remotely Sensed Data Using Cloud Computing Platform<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_journal\">Land, <\/span><span class=\"tp_pub_additional_volume\">9 <\/span><span class=\"tp_pub_additional_number\">(10), <\/span><span class=\"tp_pub_additional_pages\">pp. 377, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2073-445X<\/span>.<\/p><p class=\"tp_pub_tags\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_1\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_1\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | Tags: <a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">cloud computing<\/a>, <a rel=\"nofollow\" href=\"https:\/\/lulcc.ipb.ac.id\/home\/publication\/?tgid=1#tppubs\" title=\"Show all publications which have a relationship to this tag\">GEE<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1\" style=\"display:none;\"><div class=\"tp_bibtex_entry\">@article{Condro2020,<br \/>\r\ntitle = {Retrieving the National Main Commodity Maps in Indonesia Based on High-Resolution Remotely Sensed Data Using Cloud Computing Platform},<br \/>\r\nauthor = {Aryo Adhi Condro and Yudi Setiawan and Lilik Budi Prasetyo and Rahmat Pramulya and Lasriama Siahaan},<br \/>\r\nurl = {https:\/\/www.mdpi.com\/2073-445X\/9\/10\/377\/htm},<br \/>\r\ndoi = {10.3390\/land9100377},<br \/>\r\nissn = {2073-445X},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-10-08},<br \/>\r\njournal = {Land},<br \/>\r\nvolume = {9},<br \/>\r\nnumber = {10},<br \/>\r\npages = {377},<br \/>\r\nabstract = {Indonesia has the most favorable climates for agriculture because of its location in the tropical climatic zones. The country has several commodities to support economics growth that are driven by key export commodities\u2014e.g., oil palm, rubber, paddy, cacao, and coffee. Thus, identifying the main commodities in Indonesia using spatially-explicit tools is essential to understand the precise productivity derived from the agricultural sectors. Many previous studies have used predictions developed using binary maps of general crop cover. Here, we present national commodity maps for Indonesia based on remote sensing data using Google Earth Engine. We evaluated a machine learning algorithm\u2014i.e., Random Forest to parameterize how the area in commodity varied in Indonesia. We used various predictors to estimate the productivity of various commodities based on multispectral satellite imageries (36 predictors) at 30-meters spatial resolution. The national commodity map has a relatively high accuracy, with an overall accuracy of about 95% and Kappa coefficient of about 0.90. The results suggest that the oil palm plantation was the highest commodity product that occupied the largest land of Indonesia. However, this study also showed that the land area in rubber, rice paddies, and cacao commodities was underestimated due to its lack of training samples. Improvement in training data collection for each commodity should be done to increase the accuracy of the commodity maps. The commodity data can be viewed online (website can be found in the end of conclusions). This data can further provide significant information related to the agricultural sectors to investigate food provisioning, particularly in Indonesia.},<br \/>\r\nkeywords = {cloud computing, GEE},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_1\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Indonesia has the most favorable climates for agriculture because of its location in the tropical climatic zones. The country has several commodities to support economics growth that are driven by key export commodities\u2014e.g., oil palm, rubber, paddy, cacao, and coffee. Thus, identifying the main commodities in Indonesia using spatially-explicit tools is essential to understand the precise productivity derived from the agricultural sectors. Many previous studies have used predictions developed using binary maps of general crop cover. Here, we present national commodity maps for Indonesia based on remote sensing data using Google Earth Engine. We evaluated a machine learning algorithm\u2014i.e., Random Forest to parameterize how the area in commodity varied in Indonesia. We used various predictors to estimate the productivity of various commodities based on multispectral satellite imageries (36 predictors) at 30-meters spatial resolution. The national commodity map has a relatively high accuracy, with an overall accuracy of about 95% and Kappa coefficient of about 0.90. The results suggest that the oil palm plantation was the highest commodity product that occupied the largest land of Indonesia. However, this study also showed that the land area in rubber, rice paddies, and cacao commodities was underestimated due to its lack of training samples. Improvement in training data collection for each commodity should be done to increase the accuracy of the commodity maps. The commodity data can be viewed online (website can be found in the end of conclusions). This data can further provide significant information related to the agricultural sectors to investigate food provisioning, particularly in Indonesia.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.mdpi.com\/2073-445X\/9\/10\/377\/htm\" title=\"https:\/\/www.mdpi.com\/2073-445X\/9\/10\/377\/htm\" target=\"_blank\">https:\/\/www.mdpi.com\/2073-445X\/9\/10\/377\/htm<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3390\/land9100377\" title=\"Follow DOI:10.3390\/land9100377\" target=\"_blank\">doi:10.3390\/land9100377<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1','tp_links')\">Close<\/a><\/p><\/div><\/td><\/tr><\/table><\/div>\n","protected":false},"excerpt":{"rendered":"cloud computing coffee gayo GEE land use webGIS All years 20212020 All types Journal ArticlesUnpublished All authors Bantacut, Tajudin Condro, Aryo Adhi Liyantono, Pramulya, Rahmat Prasetyo, Lilik Budi Pulunggono, Heru Bagus Purwonegoro, Benni Setiawan, Yudi Siahaan, Lasriama Zulfajrin, Moh All users 2021 Purwonegoro, Benni; Liyantono, ; Setiawan, YudiWEBGIS APPLICATION FOR MONITORING LAND USE CHANGE IN [...]","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/lulcc.ipb.ac.id\/home\/wp-json\/wp\/v2\/pages\/136904"}],"collection":[{"href":"https:\/\/lulcc.ipb.ac.id\/home\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/lulcc.ipb.ac.id\/home\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/lulcc.ipb.ac.id\/home\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lulcc.ipb.ac.id\/home\/wp-json\/wp\/v2\/comments?post=136904"}],"version-history":[{"count":2,"href":"https:\/\/lulcc.ipb.ac.id\/home\/wp-json\/wp\/v2\/pages\/136904\/revisions"}],"predecessor-version":[{"id":137099,"href":"https:\/\/lulcc.ipb.ac.id\/home\/wp-json\/wp\/v2\/pages\/136904\/revisions\/137099"}],"wp:attachment":[{"href":"https:\/\/lulcc.ipb.ac.id\/home\/wp-json\/wp\/v2\/media?parent=136904"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}