Improving arable land heterogeneity information in available land cover products for land surface modelling using MERIS NDVI data

Autor: F. Zabel, T. B. Hank, W. Mauser

Publikováno v: Hydrology and Earth System Sciences, Vol 14, Iss 10, Pp 2073-2084 (2010)

Regionalization of physical land surface models requires the supply of detailed land cover information. Numerous global and regional land cover maps already exist but generally, they do not resolve arable land into different crop types. However, arab

Externí odkaz: https://doaj.org/article/87bb62696e714f29ac53d0313ed7eabc

Retrieving plant functional traits through time series analysis of satellite observations using machine learning methods.

Autor: Švik, Marian, Lukeš, Petr, Lhotáková, Zuzana, Neuwirthová, Eva, Albrechtová, Jana, Campbell, Petya E., Homolová, Lucie

Publikováno v: International Journal of Remote Sensing; May2023, Vol. 44 Issue 10, p3083-3105, 23p

Evaluating the contribution of Sentinel-2 view and illumination geometry to the accuracy of retrieving essential crop parameters.

Autor: Kganyago, Mahlatse, Ovakoglou, Georgios, Mhangara, Paidamwoyo, Adjorlolo, Clement, Alexandridis, Thomas, Laneve, Giovanni, Beltran, Juan Suarez

Publikováno v: GIScience & Remote Sensing; 2023, Vol. 60 Issue 1, p1-20, 20p

Luminescence-Based Infrared Thermal Sensors: Comprehensive Insights.

Autor: Fahad S; School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, P. R. China.; Engineering Research Center of Integrated Circuits for Next-Generation Communications, Ministry of Education, Southern University of Science and Technology, Shenzhen, 518055, China., Li S; Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, 518055, P. R. China., Zhai Y; School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, P. R. China., Zhao C; School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, P. R. China.; Engineering Research Center of Integrated Circuits for Next-Generation Communications, Ministry of Education, Southern University of Science and Technology, Shenzhen, 518055, China., Pikramenou Z; School of Chemistry, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK., Wang M; School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, P. R. China.; Engineering Research Center of Integrated Circuits for Next-Generation Communications, Ministry of Education, Southern University of Science and Technology, Shenzhen, 518055, China.

Publikováno v: Small (Weinheim an der Bergstrasse, Germany) [Small] 2024 Jan; Vol. 20 (3), pp. e2304237. Date of Electronic Publication: 2023 Sep 07.

A systematic review on the use of remote sensing technologies in quantifying grasslands ecosystem services.

Autor: Masenyama, Anita, Mutanga, Onisimo, Dube, Timothy, Bangira, Tsitsi, Sibanda, Mbulisi, Mabhaudhi, Tafadzwanashe

Publikováno v: GIScience & Remote Sensing; 2022, Vol. 59 Issue 1, p1000-1025, 26p