Comparative Analysis of MODIS Time-Series Classification Using Support Vector Machines and Methods Based upon Distance and Similarity Measures in the Brazilian Cerrado-Caatinga Boundary-Reference-Cited by-同舟云学术

Comparative Analysis of MODIS Time-Series Classification Using Support Vector Machines and Methods Based upon Distance and Similarity Measures in the Brazilian Cerrado-Caatinga Boundary

Published:2015-09-18 Issue:9 Volume:7 Page:12160-12191
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Abade Natanael,Júnior Osmar,Guimarães Renato,de Oliveira Sandro

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/7/9/12160/pdf

Reference101 articles.

1. The diversification of eastern South American open vegetation biomes: Historical biogeography and perspectives

2. Contribution to the discussions on the origin of the cerrado biome: Brazilian savanna

3. Woody Plant Diversity, Evolution, and Ecology in the Tropics: Perspectives from Seasonally Dry Tropical Forests

4. Confronting a biome crisis: global disparities of habitat loss and protection

5. Extent and conservation of tropical dry forests in the Americas

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A constrastive semi-supervised deep learning framework for land cover classification of satellite time series with limited labels;Neurocomputing;2024-01

2. Surface Water Body Extraction for Landsat-8 (OLI) Imagery Using Water-Indices Methods and SCM Techniques;Signals and Communication Technology;2024

3. Feasibility analysis of using Sentinel-1 images to phenologically differentiate the areas of soybean seed and sub-irrigated bean planting in the period of sanitary void in the tropical floodplains of the Formoso River basin, Tocantins, Brazil;Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV;2023-10-17

4. A deep learning framework for crop mapping with reconstructed Sentinel-2 time series images;Computers and Electronics in Agriculture;2023-10

5. Deep semantic segmentation of mangroves in Brazil combining spatial, temporal, and polarization data from Sentinel-1 time series;Ocean & Coastal Management;2023-01