{'fraction_non_alphanumeric': 0.029053420805998126, 'fraction_numerical': 0.01780693533270853, 'mean_word_length': 5.137931034482759, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Monitoring The Historical Development Of Oil Palm Plantations With Combined Use Of Landsat Time Series, Multitemporal Google Earth Images And ALOS-2/PALSAR-2

Oil palm plantations are expanding at an alarming rate in tropical Asia at the expense of existing forest and farmlands. To better plan future development and conservation in the region, it is necessary to understand the processes of oil palm development. In this study, a pilot study was conducted to test whether remote sensing techniques could be applicable for investigating actual processes of oil palm development in cloud-prone tropical Asia. To achieve the goal, three satellites and sensor types, Landsat, Google Earth, and ALOS-2/PALSAR-2, were used together to develop a robust monitoring method of land-use and land-cover change (LUCC) specifically aimed at oil palm development. It was confirmed that LUCC information that is ready for in-depth spatiotemporal analysis was successfully obtained with sufficient spatial (8,916 km2 at 30-m spatial resolution) and temporal (1988 to 2017) coverage.