Fernando Batistella - Distribuidor autorizado Ag Leader Technology - Batistella Colheitas e Assistência Técnica | LinkedIn
![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 | A Review of Earth Observation-Based Analyses for Major River Basins Remote Sensing | Free Full-Text | A Review of Earth Observation-Based Analyses for Major River Basins](https://www.mdpi.com/remotesensing/remotesensing-11-02951/article_deploy/html/images/remotesensing-11-02951-g001.png)
Remote Sensing | Free Full-Text | A Review of Earth Observation-Based Analyses for Major River Basins
![PDF) A Comparative Study of Landsat TM and SPOT HRG Images for Vegetation Classification in the Brazilian Amazon PDF) A Comparative Study of Landsat TM and SPOT HRG Images for Vegetation Classification in the Brazilian Amazon](https://i1.rgstatic.net/publication/26856491_A_Comparative_Study_of_Landsat_TM_and_SPOT_HRG_Images_for_Vegetation_Classification_in_the_Brazilian_Amazon/links/02bfe5113eb0842e29000000/largepreview.png)
PDF) A Comparative Study of Landsat TM and SPOT HRG Images for Vegetation Classification in the Brazilian Amazon
![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)
Remote Sensing | Free Full-Text | Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data
![PDF) Comparison of Land-Cover Classification Methods in the Brazilian Amazon Basin | Mateus Batistella - Academia.edu PDF) Comparison of Land-Cover Classification Methods in the Brazilian Amazon Basin | Mateus Batistella - Academia.edu](https://0.academia-photos.com/attachment_thumbnails/41158689/mini_magick20190219-24473-mz8s82.png?1550641455)
PDF) Comparison of Land-Cover Classification Methods in the Brazilian Amazon Basin | Mateus Batistella - Academia.edu
LINEAR SPECTRAL MIXTURE ANALYSIS OF TM DATA FOR LAND-USE AND LAND-COVER CLASSIFICATION IN RONDÔNIA, BRAZILIAN AMAZON
![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
![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 | Evaluating Statewide NAIP Photogrammetric Point Clouds for Operational Improvement of National Forest Inventory Estimates in Mixed Hardwood Forests of the Southeastern U.S. Remote Sensing | Free Full-Text | Evaluating Statewide NAIP Photogrammetric Point Clouds for Operational Improvement of National Forest Inventory Estimates in Mixed Hardwood Forests of the Southeastern U.S.](https://pub.mdpi-res.com/remotesensing/remotesensing-14-04386/article_deploy/html/images/remotesensing-14-04386-ag.png?1662652468)
Remote Sensing | Free Full-Text | Evaluating Statewide NAIP Photogrammetric Point Clouds for Operational Improvement of National Forest Inventory Estimates in Mixed Hardwood Forests of the Southeastern U.S.
Nesting Ecology of Podocnemis erythrocephala (Testudines, Podocnemididae) of the Rio Negro, Amazonas, Brazil
Full article: Object-based forest biomass estimation using Landsat ETM+ in Kampong Thom Province, Cambodia
![Remote Sensing | Free Full-Text | New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest Monitoring Remote Sensing | Free Full-Text | New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest Monitoring](https://www.mdpi.com/remotesensing/remotesensing-12-02707/article_deploy/html/images/remotesensing-12-02707-g003.png)
Remote Sensing | Free Full-Text | New JAXA High-Resolution Land Use/Land Cover Map for Vietnam Aiming for Natural Forest and Plantation Forest Monitoring
![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
![Forests | Free Full-Text | The Potential of Multisource Remote Sensing for Mapping the Biomass of a Degraded Amazonian Forest Forests | Free Full-Text | The Potential of Multisource Remote Sensing for Mapping the Biomass of a Degraded Amazonian Forest](https://www.mdpi.com/forests/forests-09-00303/article_deploy/html/images/forests-09-00303-g001.png)