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Valdete Duarte
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2020 – today
- 2024
- [c12]Yosio Edemir Shimabukuro, Egidio Arai, Gabriel Máximo da Silva, Valdete Duarte:
Classifying Forest Degradation by Fire and Selective Logging in Mato Grosso State, Brazilian Amazon, Using Sentinel-2 MSI and Landsat OLI Sensor Data. IGARSS 2024: 4123-4127 - 2023
- [c11]Gabriel Máximo da Silva, Egidio Arai, Tânia Beatriz Hoffmann, Valdete Duarte, Paulo Roberto Martini, Andeise C. Dutra, Guilherme A. V. Mataveli, Henrique Luis Godinho Cassol, Yosio Edemir Shimabukuro:
Land use and Land Cover Classification in São Paulo, Brazil, Using Landsat-8 Oli Images and Derived Spectral Indices. IGARSS 2023: 2961-2964 - [c10]Yosio Edemir Shimabukuro, Egidio Arai, Gabriel Máximo da Silva, Andeise Cerqueira Dutra, Guilherme A. V. Mataveli, Tânia Beatriz Hoffmann, Henrique Luis Godinho Cassol, Valdete Duarte, Paulo Roberto Martini:
Fraction Images Derived from Landsat Mss, TM and Oli Images for Monitoring Forest Cover at the Rondônia State, Brazilian Amazon. IGARSS 2023: 2965-2968 - 2022
- [c9]Yosio Edemir Shimabukuro, Egidio Arai, Gabriel Máximo da Silva, Andeise Cerqueira Dutra, Guilherme Augusto Verola Mataveli, Valdete Duarte, Paulo Roberto Martini:
Mapping and Monitoring Forest Plantation using Fraction Images Derived from Multi-Annual Landsat TM Datasets. IGARSS 2022: 5969-5972 - [c8]Gabriel Máximo da Silva, Egidio Arai, Yosio Edemir Shimabukuro, Anielli Rosane de Souza, Tânia Beatriz Hoffmann, Andeise Cerqueira Dutra, Paulo Roberto Martini, Valdete Duarte:
Burned Area in Land Use and Land Cover Classes in Sao Paulo State, Brazil. IGARSS 2022: 6009-6012 - 2021
- [c7]Andeise Cerqueira Dutra, Fábio Marcelo Breunig, Henrique Luis Godinho Cassol, Marceli Terra de Oliveira, Tânia Beatriz Hoffmann, Egidio Arai, Valdete Duarte, Yosio Edemir Shimabukuro:
Brazilian Savanna Height Estimation Using UAV Photogrammetry. IGARSS 2021: 5945-5948 - 2020
- [j2]Yosio Edemir Shimabukuro, Andeise Cerqueira Dutra, Egidio Arai, Valdete Duarte, Henrique Luis Godinho Cassol, Gabriel Pereira, Francielle da Silva Cardozo:
Mapping Burned Areas of Mato Grosso State Brazilian Amazon Using Multisensor Datasets. Remote. Sens. 12(22): 3827 (2020) - [j1]Yosio Edemir Shimabukuro, Egidio Arai, Valdete Duarte, Andeise Cerqueira Dutra, Henrique Luis Godinho Cassol, Edson Eyji Sano, Tânia Beatriz Hoffmann:
Discriminating Land Use and Land Cover Classes in Brazil Based on the Annual PROBA-V 100 m Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3409-3420 (2020) - [c6]Tânia Beatriz Hoffmann, Andeise Cerqueira Dutra, Yosio Edemir Shimabukuro, Egidio Arai, Henrique Luis Godinho Cassol, Cesare Di Girolamo Neto, Valdete Duarte:
Fire Occurrence in the Brazilian Savanna Conservation Units and their Buffer Zones. IGARSS 2020: 4263-4266 - [c5]Yosio Edemir Shimabukuro, Egidio Arai, Andeise Cerqueira Dutra, Valdete Duarte:
Land Use and Land Cover Mapping Using Fraction Images Derived from Annual VIIRS-NPP Dataset. IGARSS 2020: 4291-4294
2010 – 2019
- 2019
- [c4]Egidio Arai, Yosio Edemir Shimabukuro, Andeise C. Dutra, Valdete Duarte:
Detection and Analysis of Forest Degradation by Fire Using Landsat/Oli Images in Google Earth Engine. IGARSS 2019: 1649-1652 - [c3]Yosio Edemir Shimabukuro, Egidio Arai, Valdete Duarte, Andeise Cerqueira Dutra:
Assessment of Land Use Land Cover in Brazil, South America, Using Fraction Images Derived from Proba-V Datasets. IGARSS 2019: 6401-6404
2000 – 2009
- 2009
- [c2]Yosio Edemir Shimabukuro, Valdete Duarte, Egidio Arai, Ramon Morais de Freitas, Paulo Roberto Martini, André Lima:
Mapping and Monitoring Land Cover in Acre State, Brazilian Amazônia, using Multitemporal Remote Sensing Data. IGARSS (4) 2009: 248-251 - 2004
- [c1]Yosio Edemir Shimabukuro, Valdete Duarte, Liana O. Anderson, Egidio Arai, Dalton de Morisson Valeriano, Fernando Del Bon Espírito-Santo, L. C. M. Aulicino:
Deforestation detection in Brazilian Amazon region in a near real time using Terra MODIS daily data. IGARSS 2004: 3405-3408
Coauthor Index
aka: Andeise Cerqueira Dutra
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last updated on 2024-09-28 02:21 CEST by the dblp team
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