RDCRMG: A Raster Dataset Clean & Reconstitution Multi-Grid Architecture for Remote Sensing Monitoring of Vegetation Dryness

RDCRMG: A Raster Dataset Clean & Reconstitution Multi-Grid Architecture for Remote Sensing Monitoring of Vegetation Dryness

In recent years, remote sensing (RS) research on crop growth status monitoring has gradually turned from static spectrum information retrieval in large-scale to meso-scale or micro-scale, timely multi-source data cooperative analysis; this change has presented higher requirements for RS data acquisi...

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Bibliographic Details
Main Authors: Sijing Ye, Diyou Liu, Xiaochuang Yao, Huaizhi Tang, Quan Xiong, Wen Zhuo, Zhenbo Du, Jianxi Huang, Wei Su, Shi Shen, Zuliang Zhao, Shaolong Cui, Lixin Ning, Dehai Zhu, Changxiu Cheng, Changqing Song
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Remote Sensing
Subjects:
big data
remote sensing
vegetation dryness
multi-grid
architecture
Online Access:http://www.mdpi.com/2072-4292/10/9/1376

Internet

http://www.mdpi.com/2072-4292/10/9/1376

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