Remote Sensing Application
portes grátis
Remote Sensing Application
Regional Perspectives in Agriculture and Forestry
Ahamed, Tofael
Springer Verlag, Singapore
05/2022
361
Dura
Inglês
9789811902123
15 a 20 dias
729
Descrição não disponível.
Chapter 1. A Review of Remote Sensing Applications in Agriculture and Forestry to Establish Big Data Analytics.- Chapter 2. Calorie-based Seasonal Multicrop Land Suitability Analysis Using GIS and Remote Sensing for Regional Food Nutrition Security in Bangladesh.- Chapter 3. Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices.- Chapter 4. Land Suitability Assessment for Cassava Production in Indonesia Using GIS, Remote Sensing and Multi-criteria Analysis.- Chapter 5. Drought Estimation from Vegetation Phenology Analysis of Maize in Indonesia Using Deep Learning Algorithm.- Chapter 6. Land Suitability Analysis for Grapes (Vist Vinefra L.) Production Using Satellite Remote Sensing, GIS and Analytical Hierarchy Process.- Chapter 7. GIS-based MCA Modeling to Locate Suitable Industrial Sites in Suburb Areas of Bangladesh for Sustainability of Agricultural Lands,- Chapter 8. Change Detection and Land Suitability Analysis for Extensionof Potential Forest Areas in Indonesia Using Satellite Remote Sensing and GIS.- Chapter 9. Estimating productivity and carbon stock using phonological indices from satellite remote sensing in Indonesia.- Chapter 10. GEE-based Spatiotemporal Evolution of Deforestation Monitoring in Malaysia and its Drivers.- Chapter 11. Climate-Resilient Agriculture Assessment, Targeting and Prioritization for the Adaptation and Mitigation Initiative in Agriculture (AMIA) in the Cordillera Administrative Region, Philippines.- Chapter 12. A Review on Innovation of Remote Sensing Technology based on Unmanned Aerial Vehicle for Sugarcane Production in Tropical Region.- Chapter 13. Big Data Scheme from Remote Sensing Applications: Concluding Notes for Agriculture and Forestry Applications.
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Satellite Remote Sensing;Geographical Information;Regional Agricultural;Forestry Planning;Machine Learning;Convolutional Neural Network
Chapter 1. A Review of Remote Sensing Applications in Agriculture and Forestry to Establish Big Data Analytics.- Chapter 2. Calorie-based Seasonal Multicrop Land Suitability Analysis Using GIS and Remote Sensing for Regional Food Nutrition Security in Bangladesh.- Chapter 3. Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices.- Chapter 4. Land Suitability Assessment for Cassava Production in Indonesia Using GIS, Remote Sensing and Multi-criteria Analysis.- Chapter 5. Drought Estimation from Vegetation Phenology Analysis of Maize in Indonesia Using Deep Learning Algorithm.- Chapter 6. Land Suitability Analysis for Grapes (Vist Vinefra L.) Production Using Satellite Remote Sensing, GIS and Analytical Hierarchy Process.- Chapter 7. GIS-based MCA Modeling to Locate Suitable Industrial Sites in Suburb Areas of Bangladesh for Sustainability of Agricultural Lands,- Chapter 8. Change Detection and Land Suitability Analysis for Extensionof Potential Forest Areas in Indonesia Using Satellite Remote Sensing and GIS.- Chapter 9. Estimating productivity and carbon stock using phonological indices from satellite remote sensing in Indonesia.- Chapter 10. GEE-based Spatiotemporal Evolution of Deforestation Monitoring in Malaysia and its Drivers.- Chapter 11. Climate-Resilient Agriculture Assessment, Targeting and Prioritization for the Adaptation and Mitigation Initiative in Agriculture (AMIA) in the Cordillera Administrative Region, Philippines.- Chapter 12. A Review on Innovation of Remote Sensing Technology based on Unmanned Aerial Vehicle for Sugarcane Production in Tropical Region.- Chapter 13. Big Data Scheme from Remote Sensing Applications: Concluding Notes for Agriculture and Forestry Applications.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
