Assessing Land Use and Cover Changes arising from the 2022 water crisis in Southeast China: A comparative analysis of Remote Sensing Imagery classifications and Machine Learning algorithms

Nascimento, Eduardo Soares; Watanabe, Fernanda Sayuri Yoshino; Galo, Maria de Lourdes Bueno Trindade; da Silva, Erivaldo Antonio

doi:10.5194/isprs-annals-X-3-2024-253-2024

Temporal monitoring of the soybean cycle using Sentinel-2 images and NDVI analysis

Willian Henrique Guilherme Marques, Maria de Lourdes Bueno Trindade Galo, Nilton Nobuhiro Imai, and Fernanda Sayuri Yoshino Watanabe

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-W4-2025, 235–240, https://doi.org/10.5194/isprs-annals-X-3-W4-2025-235-2026,https://doi.org/10.5194/isprs-annals-X-3-W4-2025-235-2026, 2026

Convolutional Neural Network (CNN) Architecture for Detecting Fusarium wilt in Banana Crops Using UAV-Based Multispectral Imaging

Gabriela Zanchetta, Fernanda Sayuri Yoshino Watanabe, and Hideo Araki

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-W4-2025, 371–378, https://doi.org/10.5194/isprs-annals-X-3-W4-2025-371-2026,https://doi.org/10.5194/isprs-annals-X-3-W4-2025-371-2026, 2026

An Empirical Line approach for Agrowing Camera Aerial Images of inland waters based on exponential fit and in situ water measurements

Beatriz Cirino Lucchetta, Fernanda Sayuri Yoshino Watanabe, Nariane Marselhe Ribeiro Bernardo, Rafael de Campos Fialho, Nilton Nobuhiro Imai, Antonio Maria Garcia Tommaselli, and Gustavo Soares Roncolato

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 215–222, https://doi.org/10.5194/isprs-annals-X-3-2024-215-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-215-2024, 2024

Comparing inpainting techniques for urban object restoration from orbital images

Eduardo Soares Nascimento, Allan Alves Lopes Ferreira, Guilherme Pina Cardim, Pedro Pina, and Erivaldo Antonio da Silva

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 245–251, https://doi.org/10.5194/isprs-annals-X-3-2024-245-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-245-2024, 2024

UAV imaging for spectral characterization of Coffee Leaf Miner (Leucoptera coffeella) infestation in the Cerrado Mineiro region

Vinicius Silva Werneck Orlando, Maria de Lourdes Bueno Trindade Galo, George Deroco Martins, Andrea Maria Lingua, and Vanessa Andaló

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 285–291, https://doi.org/10.5194/isprs-annals-X-3-2024-285-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-285-2024, 2024

Estimating coffee crop parameters through multispectral imaging and machine learning algorithms

Fernando Vasconcelos Pereira, Vinicius Silva Werneck Orlando, George Deroco Martins, Bruno Sérgio Vieira, Eduardo Soares Nascimento, Aline Barrocá Marra, and Maria de Lourdes Bueno Trindade Galo

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 317–323, https://doi.org/10.5194/isprs-annals-X-3-2024-317-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-317-2024, 2024

BURNT AREAS SEMANTIC SEGMENTATION FROM SENTINEL DATA USING THE U-NET NETWORK TRAINED WITH SEMI-AUTOMATED ANNOTATIONS

A. B. Marra, M. L. B. T. Galo, F. Giulio Tonolo, E. E. Sano, and V. S. W. Orlando

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1459–1465, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1459-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1459-2023, 2023

ASSESSING THE EFFECTIVENESS OF INPAINTING TECHNIQUES FOR ENHANCING FEATURE EXTRACTION QUALITY IN REMOTE SENSING IMAGERY

C. F. M. Fontoura Júnior, G. P. Cardim, E. S. Nascimento, M. Colnago, W. C. d. O. Casaca, and E. A. da Silva

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 65–72, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-65-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-65-2023, 2023

POTENTIAL OF MULTISPECTRAL IMAGES TAKEN BY SENSORS EMBEDDED IN UAVS FOR MONITORING THE COFFEE CROP IRRIGATION

V. S. W. Orlando, G. D. Martins, E. F. Fraga Júnior, A. B. Marra, F. V. Pereira, and M. d. L. B. T. Galo

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 91–96, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-91-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-91-2023, 2023

CARTOGRAPHIC FEATURES EXTRACTION METHODOLOGY IN REMOTE SENSING IMAGES AIMING AT THE CARTOGRAPHIC UPDATE OF ALLOTMENTS

E. S. Nascimento, A. A. L. Ferreira, T. G. Godoy, C. F. M. Fontoura Júnior, G. P. Cardim, P. M. B. D. Pina, and E. A. da Silva

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 851–856, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-851-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-851-2023, 2023

EVALUATION OF SAR TO OPTICAL IMAGE TRANSLATION USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK FOR CLOUD REMOVAL IN A CROP DATASET

L. E. Christovam, M. H. Shimabukuro, M. L. B. T. Galo, and E. Honkavaara

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 823–828, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-823-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-823-2021, 2021

Assessing Land Use and Cover Changes arising from the 2022 water crisis in Southeast China: A comparative analysis of Remote Sensing Imagery classifications and Machine Learning algorithms

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