Photon recollision probability and the spectral invariant theory: Principles, methods, and applications

H Fang - Remote Sensing of Environment, 2023 - Elsevier
The photon recollision probability (p) and spectral invariant theory (p-theory) have gained
much attention in the vegetation remote sensing community over the past decades. A broad …

[图书][B] Advanced remote sensing: terrestrial information extraction and applications

S Liang, J Wang - 2019 - books.google.com
Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second
Edition, is a thoroughly updated application-based reference that provides a single source …

Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems

M Scholze, M Buchwitz, W Dorigo, L Guanter… - …, 2017 - bg.copernicus.org
The global carbon cycle is an important component of the Earth system and it interacts with
the hydrology, energy and nutrient cycles as well as ecosystem dynamics. A better …

A novel automatic change detection method for urban high-resolution remotely sensed imagery based on multiindex scene representation

D Wen, X Huang, L Zhang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The new generation of Earth observation sensors with high spatial resolution can provide
detailed information for change detection. The widely used methods for high-resolution …

The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence

Z Zhang, Y Zhang, Y Zhang, N Gobron… - Remote Sensing of …, 2020 - Elsevier
Satellite remotely sensed fraction of photosynthetically active radiation (FPAR) products are
widely used in land-surface monitoring and modeling, especially for estimating global …

陆表定量遥感反演方法的发展新动态.

梁顺林, 程洁, 贾坤, 江波, 刘强… - Journal of Remote …, 2016 - search.ebscohost.com
随着获取的遥感数据越来越多, 定量遥感正处于一个飞速发展的时期. 本文从反演方法和遥感
数据产品生成两个主要方面对近期陆表定量遥感的发展进行评述. 由于大气 …

Remote and proximal sensing-derived spectral indices and biophysical variables for spatial variation determination in vineyards

N Darra, E Psomiadis, A Kasimati, A Anastasiou… - Agronomy, 2021 - mdpi.com
Remote-sensing measurements are crucial for smart-farming applications, crop monitoring,
and yield forecasting, especially in fields characterized by high heterogeneity. Therefore, in …

Carbon cycle responses of semi‐arid ecosystems to positive asymmetry in rainfall

V Haverd, A Ahlström, B Smith… - Global Change …, 2017 - Wiley Online Library
Recent evidence shows that warm semi‐arid ecosystems are playing a disproportionate role
in the interannual variability and greening trend of the global carbon cycle given their mean …

Using satellite data to improve the leaf phenology of a global terrestrial biosphere model

N MacBean, F Maignan, P Peylin, C Bacour… - …, 2015 - bg.copernicus.org
Correct representation of seasonal leaf dynamics is crucial for terrestrial biosphere models
(TBMs), but many such models cannot accurately reproduce observations of leaf onset and …

The MODIS global vegetation fractional cover product 2001–2018: characteristics of vegetation fractional cover in grasslands and savanna woodlands

MJ Hill, JP Guerschman - Remote Sensing, 2020 - mdpi.com
Vegetation Fractional Cover (VFC) is an important global indicator of land cover change,
land use practice and landscape, and ecosystem function. In this study, we present the …