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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Land Suitability Assessment for Cassava Production in Indonesia Using GIS, Remote Sensing, and Multg the spatial factors and criteria is required for locating suitable production areas to increase cassava production. In this study, a spatial model was developed to assess the suitability of land for supporting sustainable cassava production. The model was divided into three stages considering diff

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Drought Estimation from Vegetation Phenology Analysis of Maize in Indonesia Using Deep Learning Alg create an automated detection system of drought with high accuracy, low computing cost, and a lightweight deep learning model. Considering the advantages of YOLOv3, it was proposed to detect and localize vegetation phenology analysis under conditions of season in Indonesia. The study was planned to

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GIS-Based MCA Modeling to Locate Suitable Industrial Sites in Suburb Areas of Bangladesh for SustaiBangladesh is such a country that faces challenges from limited arable land resources, including the urbanization of agricultural lands and urban developments in suburban areas. Therefore, the aim of this chapter was to determine the land use changes over time in suburban areas that have potential f

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Change Detection and Land Suitability Analysis for Extension of Potential Forest Areas in Indonesiamatra province of Indonesia, according to the Indonesian forest resilience classification zones. At first, multispectral satellite remote sensing datasets from Landsat 7 ETM+ and Landsat 8 OLI were classified into four classes, namely, urban, vegetation, forest, and waterbody to develop Land Use/Lan

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Estimating Productivity and Carbon Stock Using Phonological Indices from Satellite Remote Sensing iever, due to anthropogenic activities, phenological properties are subject to risk to ensure productivity and carbon exchange in the different forest ecosystems in Indonesia. Early prediction of carbon values could indicate a declining trend of forest quality with reference to vegetation levels. Thu

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Climate-Resilient Agriculture Assessment, Targeting and Prioritization for the Adaptation, and Mitigriculture (AMIA)” in Cordillera Administrative Region (CAR) contributes to the national government’s agenda of addressing climate change threats in the country’s agriculture sector. The major outputs include the Climate-Resilient Agri-fisheries (CRA) for the assessment of traditional and CRA croppi

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A Review on Innovation of Remote Sensing Technology Based on Unmanned Aerial Vehicle for Sugarcane the increase of profitability for both growers and sugar factories. Due to its flexibility, availability, and accessibility, unmanned aerial vehicle (UAV) imagery have been using to canopy detection, disease detection, sugar content estimation, and yield predictions of sugarcane. Vegetation index an

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Big Data Scheme from Remote Sensing Applications: Concluding Notes for Agriculture and Forestry Appning towards food and nutrition security, crop growth monitoring, yield forecasting, land suitability analysis, forest productivity and drought assessment for crops, vegetables, and fruits. The geospatial, mathematical, and logical modeling including multicriteria evaluation systems were conducted t