Ieda Del'Arco Sanches - researchr alias

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Viewing Publication 1 - 17 from 17

2024

Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic ReviewNildson Rodrigues de França e Silva, Michel Eustáquio Dantas Chaves, Ana Cláudia dos Santos Luciano, Ieda Del'Arco Sanches, Cláudia Maria de Almeida, Marcos Adami. remotesensing, 16(5):863, March 2024. [doi]

2023

Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach Using Harmonized Data from Landsat Sentinel-2Edson Luis Bolfe, Taya Cristo Parreiras, Lucas Augusto Pereira da Silva, Edson Eyji Sano, Giovana Maranhão Bettiol, Daniel de Castro Victoria, Ieda Del'Arco Sanches, Luiz Eduardo Vicente. ijgi, 12(7):263, July 2023. [doi]

Assessing The Influence Of Borders And Roads On The Segmentation Of Rice Fields: A Case StudyAndre D. B. Garcia, Michel E. D. Chaves, Victor H. R. Prudente, Ieda Del'Arco Sanches. geoinfo 2023: 1-12 [doi]

Detecting Irrigated Croplands: A Comparative Study With Segment Anything Model And Region-Growing AlgorithmFelipe G. Petrone, Darlan Silva, Aluizio B. Maia, Ieda Del'Arco Sanches, Marcos Adami, Michel E. D. Chaves, Leila M. G. Fonseca. geoinfo 2023: 199-209 [doi]

Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative AnalysisGrazieli Rodigheri, Ieda Del'Arco Sanches, Jonathan Richetti, Rodrigo Yoiti Tsukahara, Roger A. Lawes, Hugo do Nascimento Bendini, Marcos Adami. remotesensing, 15(22):5366, November 2023. [doi]

2022

2020

Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic ReviewMichel Eustáquio Dantas Chaves, Michelle Cristina Araújo Picoli, Ieda Del'Arco Sanches. remotesensing, 12(18):3062, 2020. [doi]

2019

Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time seriesHugo do Nascimento Bendini, Leila Maria Garcia Fonseca, Marcel Schwieder, Thales Sehn Körting, Philippe Rufin, Ieda Del'Arco Sanches, Pedro J. Leitão, Patrick Hostert. aeog, 82, 2019. [doi]

Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop ClassificationHugo do Nascimento Bendini, Leila Maria Garcia Fonseca, Marcel Schwieder, Thales Sehn Körting, Philippe Rufin, Ieda Del'Arco Sanches, Pedro J. Leitão, Patrick Hostert. igarss 2019: 469-472 [doi]

Potential of Using Sentinel-1 Data to Distinguish Targets in Remote Sensing ImagesMikhaela Aloísia Jéssie Santos Pletsch, Thales Sehn Körting, Willian Vieira de Oliveira, Ieda Del'Arco Sanches, Victor Velázquez Fernandez, Fábio Furlan Gama, Maria Isabel Sobral Escada. iccsa 2019: 563-576 [doi]

Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image SequencesLaura Elena Cue La Rosa, Raul Queiroz Feitosa, Patrick Nigri Happ, Ieda Del'Arco Sanches, Gilson Alexandre Ostwald Pedro da Costa. remotesensing, 11(17):2029, 2019. [doi]

2018

Mapping croplands, cropping patterns, and crop types using MODIS time-series dataYaoliang Chen, Dengsheng Lu, Emilio Moran, Mateus Batistella, Luciano Vieira Dutra, Ieda Del'Arco Sanches, Ramon Felipe Bicudo da Silva, Jingfeng Huang, Alfredo José Barreto Luiz, Maria Antonia Falcão de Oliveira. aeog, 69:133-147, 2018. [doi]

Use of MSI/Sentinel-2 and airborne LiDAR data for mapping vegetation and studying the relationships with soil attributes in the Brazilian semi-arid regionHilton Luís Ferraz da Silveira, Lênio Soares Galvão, Ieda Del'Arco Sanches, Iedo Bezerra de Sá, Tatiana Ayako Taura. aeog, 73:179-190, 2018. [doi]

Campo Verde Database: Seeking to Improve Agricultural Remote Sensing of Tropical AreasIeda Del'Arco Sanches, Raul Queiroz Feitosa, Pedro Marco Achanccaray Diaz, Marinalva Dias Soares, Alfredo José Barreto Luiz, Bruno Schultz, Luis Eduardo Pinheiro Maurano. lgrs, 15(3):369-373, 2018. [doi]

2016

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