Work

A dataset of 16m/10-day leaf area indices of MuSyQ GF-series (2018–2020, China, Version 01)

Year: 2022

Type: article

Abstract: Leaf area index (LAI) is a critical variable to study the structure and function of the vegetation ecosystem. However, there is no standardized high-resolution LAI product worldwide. Taking advantage of the high spatial and temporal resolution of Gaofen1, we compiled this dataset by using the three-dimensional radiative transfer model. This product can provide reliable data for the analysis of vegetation change, the application of agriculture and forestry, and ecological environment monitoring in China.

Source: China Scientific Data

DOI: 10.11922/csdata.2021.0029.zh

Authors: Hu ZHANG, Jing LI, Zhaoxing ZHANG, Shanlong WU, Bo ZHONG, Qinhuo LIU

Institutions: Chinese Academy of Sciences, Beijing Normal University, Aerospace Information Research Institute, State Key Laboratory of Remote Sensing Science

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Key Research and Development Program of China

Award: G2652800691