Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil-Reference-Cited by-同舟云学术

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Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil

Published:2021-06 Issue: Volume:176 Page:196-210
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Pott Luan Pierre,Amado Telmo Jorge Carneiro,Schwalbert Raí Augusto,Corassa Geomar Mateus,Ciampitti Ignacio Antonio

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference70 articles.

1. Mapping maize fields by using multi-temporal Sentinel-1A and Sentinel-2A images in Makarfi, Northern Nigeria, Africa;Abubakar;Sustainability,2020

2. Köppen’s climate classification map for Brazil;Alvares;Meteorol. Z.,2013

3. Classification of South Brazilian grasslands: Implications for conservation;Andrade;Appl. Veg. Sci.,2019

4. Classification of MODIS EVI temporal series for crop mapping in the state of Mato Grosso, Brazil;Arvor;Int. J. Remote Sens.,2011

5. Mapping CORINE Land Cover from Sentinel-1A SAR and SRTM Digital Elevation Model Data using Random Forests;Balzter;Remote Sens.,2015

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