Optimizing Remote Sensing Data and Light Use Efficiency Model for Accurate Gross Primary Production Estimation in African Rangelands-Reference-Cited by-同舟云学术

Optimizing Remote Sensing Data and Light Use Efficiency Model for Accurate Gross Primary Production Estimation in African Rangelands

Published:2024-07-07 Issue: Volume:2 Page:4289-4293
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Pal Mahendra K.¹,Ardö Jonas¹,Eklundh Lars¹,Cai Zhanzhang¹,Tagesson Torbern¹,Wieckowski Aleksander¹,Buitenwerf Robert²,Davison Charles²,Grobler Donvan³,Munk Michael⁴,Senty Paul⁴,Brümmer Christian⁵,Feig Gregor⁶,vanZyl Pieter⁷,Griffiths Patrick⁸

Affiliation:

1. Lund University,Department of Physical Geography and Ecosystem Science,Lund,Sweden,S-223 62

2. Aarhus University,Department of Biology - Ecoinformatics and Biodiversity,Aarhus C,Denmark,8000

3. GeoVille Information Systems and Data Processing GmbH,Innsbruck,Tyrol,Austria,6020

4. DHI A/S - DHI Water Environment Health,Aarhus N,Danmark,8200

5. Thünen Institute of Climate-Smart Agriculture,Braunschweig,Germany,38116

6. The South African Environmental Observation Network (SAEON),Pretoria,South Africa,0001

7. North-West University,School of Physical and Chemical Sciences, Faculty of Natural and Agricultural Sciences,Potchefstroom,South Africa,2520

8. European Space Agency - ESRIN,Department of Earth Observation, Science, Applications & Climate,Frascati, Rome,Italy,00044

Funder

European Space Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10640791.pdf?arnumber=10640791

Reference22 articles.

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2. The need for a common basis for defining light-use efficiency: Implications for productivity estimation

3. Relationship between fraction of radiation absorbed by photosynthesizing maize and soybean canopies and NDVI from remotely sensed data taken at close range and from MODIS 250m resolution data

4. Monitoring Photosynthesis from Space