Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s10661-022-10128-2 | DOI Listing |
Front Plant Sci
December 2024
College of Life Sciences, Jilin Agricultural University, Changchun, China.
[This corrects the article DOI: 10.3389/fpls.2024.
View Article and Find Full Text PDFData Brief
December 2024
Faculty of Engineering, Politécnico Colombiano Jaime Isaza Cadavid, 48th Av, 7-151, Medellín, Colombia.
This article presents a comprehensive dataset combining Synthetic Aperture Radar (SAR) imagery from the Sentinel-1 mission with optical imagery, including RGB and Normalized Difference Vegetation Index (NDVI), from the Sentinel-2 mission. The dataset consists of 8800 images, organized into four folders-SAR_VV, SAR_VH, RGB, and NDVI-each containing 2200 images with dimensions of 512 × 512 pixels. These images were collected from various global locations using random geographic coordinates and strict criteria for cloud cover, snow presence, and water percentage, ensuring high-quality and diverse data.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
December 2024
School of Life Sciences, Shihezi University, Shihezi, 832000, Xinjiang, People's Republic of China.
Sci Total Environ
December 2024
Research Institute of Green Science and Technology, Shizuoka University, Hamamatsu, Shizuoka 432-8561, Japan; Department of Engineering, Graduate School of Integrated Science and Technology, Shizuoka University, Hamamatsu, Shizuoka 432-8561, Japan; Graduate School of Science and Technology, Shizuoka University, Hamamatsu, Shizuoka 432-8561, Japan.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!