CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery
and Crop Labels

v1v2 (latest)

CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels

26 July 2021

Praveen Ravirathinam

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Papers citing "CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels"

8 / 8 papers shown

Title
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping Rahul Ghosh Praveen Ravirathinam X. Jia Chenxi Lin Zhenong Jin Vipin Kumar AI4TS 45 12 0 02 May 2021
Land Cover Mapping in Limited Labels Scenario: A Survey Rahul Ghosh X. Jia Vipin Kumar 54 6 0 03 Mar 2021
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion M. Schmitt Lloyd H. Hughes C. Qiu Xiaoxiang Zhu 65 260 0 18 Jun 2019
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding Gencer Sumbul Marcela Charfuelan Begüm Demir Volker Markl 94 454 0 16 Feb 2019
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images Ilke Demir Krzysztof Koperski David Lindenbaum Guan Pang Jing Huang Saikat Basu Forest Hughes D. Tuia Ramesh Raskar 56 844 0 17 May 2018
DOTA: A Large-scale Dataset for Object Detection in Aerial Images Gui-Song Xia X. Bai Jian Ding Zhen Zhu Serge J. Belongie Jiebo Luo Mihai Datcu Marcello Pelillo Liangpei Zhang ObjD 127 2,185 0 28 Nov 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification P. Helber B. Bischke Andreas Dengel Damian Borth 154 1,830 0 31 Aug 2017
DeepSat - A Learning framework for Satellite Imagery Saikat Basu S. Ganguly S. Mukhopadhyay Robert DiBiano Manohar Karki R. Nemani 64 338 0 11 Sep 2015

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