Remote Sensing Application : Regional Perspectives in Agriculture and Forestry

edited by Tofael Ahamed

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 Extension of 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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Year of publication:	2022
Other Persons:	Ahamed, Tofael (ed.)
Publisher:	2022.: Singapore : Springer Nature Singapore 2022.: Singapore : Imprint: Springer
Subject:	Satellite Remote Sensing \| Geographical Information \| Regional Agricultural \| Forestry Planning \| Machine Learning \| Convolutional Neural Network \| Forstwirtschaft \| Forestry \| Landwirtschaft \| Agriculture \| Weltraumtechnik \| Space technology \| Künstliche Intelligenz \| Artificial intelligence \| Satellitenkommunikation \| Satellite communications \| Neuronale Netze \| Neural networks
Description of contents:	Description [swbplus.bsz-bw.de]