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Titlebook: Remote Sensing Application; Regional Perspective Tofael Ahamed Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive l

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發(fā)表于 2025-3-30 10:11:39 | 只看該作者
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發(fā)表于 2025-3-30 14:20:14 | 只看該作者
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發(fā)表于 2025-3-30 18:43:54 | 只看該作者
Land Suitability Assessment for Cassava Production in Indonesia Using GIS, Remote Sensing, and Multalytical hierarchy process (AHP) and the analytical network process (ANP). Third, a sustainability evaluation was conducted based on land suitability information for a study period of 5?years. Land suitability assessment was performed to increase cassava production. We found that 43.11% (11,094?ha)
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發(fā)表于 2025-3-30 20:45:22 | 只看該作者
Drought Estimation from Vegetation Phenology Analysis of Maize in Indonesia Using Deep Learning Alg in late August 2018. This study presents a convolutional neural network (CNN)-based you only look once (YOLO) model for detecting drought at the maize growth phases. The drought estimation was validated from the vegetation phenology analysis based on the growing season. The accuracy assessment of t
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發(fā)表于 2025-3-31 02:35:33 | 只看該作者
Land Suitability Analysis for Grape (, L.) Production Using Satellite Remote Sensing, GIS, and Analate climatic and soil conditions. Besides, socioeconomic information was collected through field surveys in Kabul Province in order to develop the vineyard suitability map. Finally, the suitable classes were determined using a weighted overly method based on the analytical hierarchy overlay process
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