Crop Type Recognition Based on Hidden Markov Models of Plant Phenology. - Paula Beatriz Cerqueira Leite; Raul Queiroz Feitosa; Antônio Roberto Formaggio; Gilson Alexandre Ostwald Pedro da Costa; Kian Pakzad; Ieda Del'Arco Sanches (SIBGRAPI, 2008)

Hidden Markov Models for crop recognition in remote sensing image sequences. - Paula Beatriz Cerqueira Leite; Raul Queiroz Feitosa; Antônio Roberto Formaggio; Gilson Alexandre Ostwald Pedro da Costa; Kian Pakzad; Ieda Del'Arco Sanches (Pattern Recognit. Lett., 2011)

Self-Guided Segmentation and Classification of Multi-Temporal Landsat 8 Images for Crop Type Mapping in Southeastern Brazil. - Bruno Schultz; Markus Immitzer; Antônio Roberto Formaggio; Ieda Del'Arco Sanches; Alfredo José Barreto Luiz; Clement Atzberger (Remote. Sens., 2015)

Assessment of a multi-sensor approach for noise removal on Landsat-8 OLI time series using CBERS-4 MUX data to improve crop classification based on phenological features. - Hugo N. Bendini; Leila Maria Garcia Fonseca; Thales Sehn Körting; Rennan F. B. Marujo; Ieda Del'Arco Sanches; Jeferson S. Arcanjo (GEOINFO, 2016)

Cloud Cover Assessment for Operational Crop Monitoring Systems in Tropical Areas. - Isaque Daniel Rocha Eberhardt; Bruno Schultz; Rodrigo Rizzi; Ieda Del'Arco Sanches; Antônio Roberto Formaggio; Clement Atzberger; Marcio Pupin Mello; Markus Immitzer; Kleber Trabaquini; William Foschiera; Alfredo José Barreto Luiz (Remote. Sens., 2016)

Spatial-temporal conditional random field based model for crop recognition in tropical regions. - Pedro Achanccaray Diaz; Raul Queiroz Feitosa; Franz Rottensteiner; Ieda Del'Arco Sanches; Christian Heipke (IGARSS, 2017)

A Comparative Analysis of Deep Learning Techniques for Sub-Tropical Crop Types Recognition from Multitemporal Optical/SAR Image Sequences. - Jose David Bermudez Castro; Raul Queiroz Feitosa; Laura Elena Cue La Rosa; Pedro Marco Achanccaray Diaz; Ieda Del'Arco Sanches (SIBGRAPI, 2017)

Mapping croplands, cropping patterns, and crop types using MODIS time-series data. - Yaoliang 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 (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Use of MSI/Sentinel-2 and airborne LiDAR data for mapping vegetation and studying the relationships with soil attributes in the Brazilian semi-arid region. - Hilton Luís Ferraz da Silveira; Lênio Soares Galvão; Ieda Del'Arco Sanches; Iedo Bezerra de Sá; Tatiana Ayako Taura (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Campo Verde Database: Seeking to Improve Agricultural Remote Sensing of Tropical Areas. - Ieda Del'Arco Sanches; Raul Queiroz Feitosa; Pedro Marco Achanccaray Diaz; Marinalva Dias Soares; Alfredo José Barreto Luiz; Bruno Schultz; Luis Eduardo Pinheiro Maurano (IEEE Geosci. Remote. Sens. Lett., 2018)

Potential of Using Sentinel-1 Data to Distinguish Targets in Remote Sensing Images. - Mikhaela Aloísia Jéssie Santos Pletsch; Thales Sehn Körting; Willian Vieira de Oliveira; Ieda Del'Arco Sanches; Victor Velázquez Fernandez; Fábio F. Gama; Maria Isabel Sobral Escada (ICCSA (4), 2019)

Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification. - Hugo 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)

Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series. - Hugo do Nascimento Bendini; Leila Maria Garcia Fonseca; Marcel Schwieder; Thales Sehn Körting; Philippe Rufin; Ieda Del'Arco Sanches; Pedro J. Leitão; Patrick Hostert (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences. - Laura Elena Cue La Rosa; Raul Queiroz Feitosa; Patrick Nigri Happ; Ieda Del'Arco Sanches; Gilson Alexandre Ostwald Pedro da Costa (Remote. Sens., 2019)

Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado. - Hugo N. Bendini; Leila M. G. Fonseca; Anderson Reis Soares; Philippe Rufin; Marcel Schwieder; Marcos A. Rodrigues 002; Raian Vargas Maretto; Thales Sehn Körting; Pedro J. Leitão; Ieda Del'Arco Sanches; Patrick Hostert (IGARSS, 2020)

SAR Data for Land Use Land Cover Classification in a Tropical Region with Frequent Cloud Cover. - Victor H. R. Prudente; Ieda Del'Arco Sanches; Marcos Adami; Sergii Skakun; L. V. Oldoni; Haron Abrahim Magalhães Xaud; M. R. Xaud; Y. Zhang (IGARSS, 2020)

Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review. - Michel E. D. Chaves; Michelle Cristina Araújo Picoli; Ieda Del'Arco Sanches (Remote. Sens., 2020)

Leaf Spectra Changes of Plants Grown in Soils Pre- and Post-Contaminated with Petroleum Hydrocarbons. - Salete Gürtler; Carlos Roberto de Souza Filho; Ieda Del'Arco Sanches; Lucíola A. Magalhães; Marcos Nopper Alves; Wilson J. Oliveira; Giuliana C. M. Quitério (Remote. Sens., 2022)

Hierarchical Classification of Soybean in the Brazilian Savanna Based on Harmonized Landsat Sentinel Data. - Taya Cristo Parreiras; Édson Luis Bolfe; Michel Eustáquio Dantas Chaves; Ieda Del'Arco Sanches; Edson Eyji Sano; Daniel de Castro Victoria; Giovana Maranhão Bettiol; Luiz Eduardo Vicente (Remote. Sens., 2022)

Campo Verde Database. - Ieda Del'Arco Sanches; Raul Queiroz Feitosa; Pedro Marco Achanccaray Diaz; Marinalva Dias Soares; Alfredo José Barreto Luiz; Bruno Schultz; Luis Eduardo Pinheiro Maurano (IEEE DataPort, 2022)

Assessing The Influence Of Borders And Roads On The Segmentation Of Rice Fields: A Case Study. - Andre D. B. Garcia; Michel E. D. Chaves; Victor H. R. Prudente; Ieda Del'Arco Sanches (GEOINFO, 2023)

Detecting Irrigated Croplands: A Comparative Study With Segment Anything Model And Region-Growing Algorithm. - Felipe G. Petrone; Darlan Silva; Aluizio B. Maia; Ieda Del'Arco Sanches; Marcos Adami; Michel E. D. Chaves; Leila M. G. Fonseca (GEOINFO, 2023)

Mapping Agricultural Intensification in the Brazilian Savanna: A Machine Learning Approach Using Harmonized Data from Landsat Sentinel-2. - Édson 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 (ISPRS Int. J. Geo Inf., 2023)

Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis. - Grazieli Rodigheri; Ieda Del'Arco Sanches; Jonathan Richetti; Rodrigo Yoiti Tsukahara; Roger A. Lawes; Hugo do Nascimento Bendini; Marcos Adami (Remote. Sens., 2023)

Sugarcane Yield Estimation Using Satellite Remote Sensing Data in Empirical or Mechanistic Modeling: A Systematic Review. - Nildson Rodrigues de França e Silva; Michel Eustáquio Dantas Chaves; Ana Cláudia dos Santos Luciano; Ieda Del'Arco Sanches; Cláudia Maria de Almeida; Marcos Adami (Remote. Sens., 2024)

A Method for Estimating Soybean Sowing, Beginning Seed, and Harvesting Dates in Brazil Using NDVI-MODIS Data. - Cleverton Tiago Carneiro de Santana; Ieda Del'Arco Sanches; Marcellus Marques Caldas; Marcos Adami (Remote. Sens., 2024)