![PDF) Application of spectral mixture analysis to Amazonian land-use and land-cover classification | Mateus Batistella - Academia.edu PDF) Application of spectral mixture analysis to Amazonian land-use and land-cover classification | Mateus Batistella - Academia.edu](https://0.academia-photos.com/attachment_thumbnails/41159897/mini_magick20190219-22527-zw98tt.png?1550641224)
PDF) Application of spectral mixture analysis to Amazonian land-use and land-cover classification | Mateus Batistella - Academia.edu
![Remote Sensing | Free Full-Text | Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests Remote Sensing | Free Full-Text | Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests](https://www.mdpi.com/remotesensing/remotesensing-10-01586/article_deploy/html/images/remotesensing-10-01586-g002-550.jpg)
Remote Sensing | Free Full-Text | Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests
Fernando Batistella - Distribuidor autorizado Ag Leader Technology - Batistella Colheitas e Assistência Técnica | LinkedIn
LINEAR SPECTRAL MIXTURE ANALYSIS OF TM DATA FOR LAND-USE AND LAND-COVER CLASSIFICATION IN RONDÔNIA, BRAZILIAN AMAZON
![Remote Sensing | Free Full-Text | A Data-Centric Approach for Wind Plant Instance-Level Segmentation Using Semantic Segmentation and GIS Remote Sensing | Free Full-Text | A Data-Centric Approach for Wind Plant Instance-Level Segmentation Using Semantic Segmentation and GIS](https://www.mdpi.com/remotesensing/remotesensing-15-01240/article_deploy/html/images/remotesensing-15-01240-g001.png)
Remote Sensing | Free Full-Text | A Data-Centric Approach for Wind Plant Instance-Level Segmentation Using Semantic Segmentation and GIS
![Remote Sensing | Free Full-Text | Measuring Understory Fire Effects from Space: Canopy Change in Response to Tropical Understory Fire and What This Means for Applications of GEDI to Tropical Forest Fire Remote Sensing | Free Full-Text | Measuring Understory Fire Effects from Space: Canopy Change in Response to Tropical Understory Fire and What This Means for Applications of GEDI to Tropical Forest Fire](https://www.mdpi.com/remotesensing/remotesensing-15-00696/article_deploy/html/images/remotesensing-15-00696-g001.png)
Remote Sensing | Free Full-Text | Measuring Understory Fire Effects from Space: Canopy Change in Response to Tropical Understory Fire and What This Means for Applications of GEDI to Tropical Forest Fire
![Remote Sensing | Free Full-Text | Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests Remote Sensing | Free Full-Text | Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests](https://www.mdpi.com/remotesensing/remotesensing-10-01586/article_deploy/html/images/remotesensing-10-01586-g006.png)
Remote Sensing | Free Full-Text | Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests
![Remote Sensing | Free Full-Text | Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests Remote Sensing | Free Full-Text | Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests](https://www.mdpi.com/remotesensing/remotesensing-10-01586/article_deploy/html/images/remotesensing-10-01586-g001.png)
Remote Sensing | Free Full-Text | Effects of Sample Plot Size and GPS Location Errors on Aboveground Biomass Estimates from LiDAR in Tropical Dry Forests
Nesting Ecology of Podocnemis erythrocephala (Testudines, Podocnemididae) of the Rio Negro, Amazonas, Brazil
![Remote Sensing | Free Full-Text | Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data Remote Sensing | Free Full-Text | Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data](https://pub.mdpi-res.com/remotesensing/remotesensing-11-01338/article_deploy/html/images/remotesensing-11-01338-ag.png?1571633879)