Structural complexity biases vegetation greenness measures
Vegetation 'greenness' characterized by spectral vegetation indices (VIs) is an integrative
measure of vegetation leaf abundance, biochemical properties and pigment composition …
measure of vegetation leaf abundance, biochemical properties and pigment composition …
[HTML][HTML] NIRvP as a remote sensing proxy for measuring gross primary production across different biomes and climate zones: Performance and limitations
The product of near-infrared radiation reflected by vegetation (NIR v) and PAR (NIR v P) is a
promising proxy for the remote estimation of gross primary production (GPP). However, the …
promising proxy for the remote estimation of gross primary production (GPP). However, the …
Impacts of the data quality of remote sensing vegetation index on gross primary productivity estimation
Y Sun, D Peng, X Guan, D Chu, Y Ma… - GIScience & Remote …, 2023 - Taylor & Francis
As the most commonly used driven data for gross primary productivity (GPP) estimation,
satellite remote sensing vegetation indexes (VI), such as the leaf area index (LAI), often …
satellite remote sensing vegetation indexes (VI), such as the leaf area index (LAI), often …
Improved estimation of gross primary production with NIRvP by incorporating a phenophase scheme for temperate deciduous forest ecosystems
NIRvP, the product of the remotely sensed near infrared reflectance of vegetation (NIRv) and
photosynthetically active radiation (PAR), has been demonstrated to be a good proxy for …
photosynthetically active radiation (PAR), has been demonstrated to be a good proxy for …
Characterizing the effect of scaling errors on the spatial downscaling of mountain vegetation gross primary productivity
X Xie, A Li - Geo-spatial Information Science, 2023 - Taylor & Francis
ABSTRACT High spatial resolution Gross Primary Productivity (GPP) estimation makes it
feasible to better understand the spatial heterogeneity of mountain vegetation …
feasible to better understand the spatial heterogeneity of mountain vegetation …
Incorporating Spatial Autocorrelation into GPP Estimation Using Eigenvector Spatial Filtering.
Terrestrial gross primary productivity (GPP) is a critical part of land carbon fluxes. Accurately
quantifying GPP in terrestrial ecosystems and understanding its spatiotemporal dynamics …
quantifying GPP in terrestrial ecosystems and understanding its spatiotemporal dynamics …
[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …
enhanced spatial and temporal coverage for monitoring biomass burning which could …
Аппроксимация временных рядов индексов вегетации (NDVI и EVI) для мониторинга сельхозкультур (посевов) Хабаровского края
АС Степанов, ЕА Фомина, ЛВ Илларионова… - Информатика и …, 2023 - mathnet.ru
Аппроксимация рядов сезонного хода индексов вегетации является основой для
эффективного мониторинга сельскохозяйственных культур, их идентификации и …
эффективного мониторинга сельскохозяйственных культур, их идентификации и …
Light use efficiency model based on chlorophyll content better captures seasonal gross primary production dynamics of deciduous broadleaf forests
R Yang, R Liu, Y Liu, JM Chen, M Xu, J He - Available at SSRN 4635816 - papers.ssrn.com
Gross primary production (GPP) is a crucial indicator representing the absorption of
atmospheric CO2 by vegetation. At present, the estimation of GPP by remote sensing is …
atmospheric CO2 by vegetation. At present, the estimation of GPP by remote sensing is …
Информатика и автоматизация
АС Степанов, ЕА Фомина, ЛВ Илларионова… - ИНФОРМАТИКА И …, 2023 - elibrary.ru
Аппроксимация рядов сезонного хода индексов вегетации является основой для
эффективного мониторинга сельскохозяйственных культур, их идентификации и …
эффективного мониторинга сельскохозяйственных культур, их идентификации и …