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Data · dataset · 2021

MuSyQ 30m/10days leaf chlorophyll content product (from 2019 to 2020 across China version 01)

Listed in ScienceDB

Leaf chlorophyll content, Chlleaf, is a key indicator of the physiological condition of vegetation.

Description

Remote sensing is one of the most effective approaches to acquire dynamic Chlleaf information on the continental or global scale. However, there are few Chlleaf remote sensing products available.

Taking advantage of the high spatial and temporal resolution of Sentinel-2 multispectral instrument (MSI), MuSyQ GF-series leaf chlorophyll content product of 30m/10days resolution across China from 2019 to 2020 (version 01) was generated using the chlorophyll sensitive index (CSI) empirical regression method. This product has the potential for explicitly retrieving leaf-scale biochemistry in ecosystem modelling and ecological applications.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Satellite remote sensing 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.11922/sciencedb.j00001.002659 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:remote-sensingenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title