Remote sensing of transpiration and heat fluxes using multi-angle observations-Reference-Cited by-同舟云学术

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Remote sensing of transpiration and heat fluxes using multi-angle observations

Published:2013-10 Issue: Volume:137 Page:31-42
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Hilker Thomas,Hall Forrest G.,Coops Nicholas C.,Collatz James G.,Black T. Andrew,Tucker Compton J.,Sellers Piers J.,Grant Nicholas

Funder

Carbon Program (Canadian Foundation for Climate and Atmospheric Science (CFCAS)

Natural Sciences and Engineering Research Council of Canada (NSERC)

BIOCAP

NSERC-Accelerator

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference58 articles.

1. A thermal-based remote sensing technique for routine mapping of land-surface carbon, water and energy fluxes from field to regional scales;Anderson;Remote Sensing of Environment,2008

2. Estimates of the annual net carbon and water exchange of forests: The EUROFLUX methodology;Aubinet;Advances in Ecological Research,2000

3. Modeling CO2 and water vapor exchange of a temperate broadleaved forest across hourly to decadal time scales;Baldocchi;Ecological Modelling,2001

4. An analysis of stomatal conductance;Ball,1988

5. Inter-annual variability in the leaf area index of a boreal aspen–hazelnut forest in relation to net ecosystem production;Barr;Agricultural and Forest Meteorology,2004

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1. Satellite remote sensing model for estimating canopy transpiration in cypress plantation using in situ sap flow observations and forest inventory;ISPRS Journal of Photogrammetry and Remote Sensing;2023-12

2. Empirical insights on the use of sun-induced chlorophyll fluorescence to estimate short-term changes in crop transpiration under controlled water limitation;ISPRS Journal of Photogrammetry and Remote Sensing;2023-09

3. Early–latewood carbon isotope enhances the understanding of the relationship between tree biomass growth and forest-level carbon fluxes;Agricultural and Forest Meteorology;2022-03

4. The Photochemical Reflectance Index (PRI) Captures the Ecohydrologic Sensitivity of a Semiarid Mixed Conifer Forest;Journal of Geophysical Research: Biogeosciences;2020-11

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