Mehrheitsdemokratie und Institutionenreform. Verfassungspolitischer Wandel in Australien, Großbritannien, Kanada und Neuseeland im Vergleich André Kaiser

Publikováno v: Zeitschrift für Staats- und Europawissenschaften (ZSE) / Journal for Comparative Government and European Policy, 2003 Jan 01. 1(2), 287-287.

Externí odkaz: https://www.jstor.org/stable/24237031

Spatiotemporal Influences of LULC Changes on Land Surface Temperature in Rapid Urbanization Area by Using Landsat-TM and TIRS Images

Autor: Eduardo Andre Kaiser, Silvia Beatriz Alves Rolim, Atilio Efrain Bica Grondona, Cristiano Lima Hackmann, Rodrigo de Marsillac Linn, Pâmela Suélen Käfer, Nájila Souza da Rocha, Lucas Ribeiro Diaz

Publikováno v: Atmosphere, Vol 13, Iss 3, p 460 (2022)

The inverse correlation between NDVI and LST is widely known for its long time series. However, when more specific statistical tests were performed, subtle differences in the correlation behavior over time are more clearly observed. In this work, reg

Externí odkaz: https://doaj.org/article/b622ba57fcbc41d3b13cefa2b4540b2e

Assessing uncertainties in estimating surface energy fluxes from remote sensing over natural grasslands in Brazil

Autor: Silvia Beatriz Alves Rolim, Débora Regina Roberti, Lucas Ribeiro Diaz, S. T. L. Costa, Eduardo Andre Kaiser, Nájila Souza da Rocha, Pâmela Suélen Käfer, Gustavo Pujol Veeck

Publikováno v: Theoretical and Applied Climatology, 148(1-2), 751-765. Springer Wien
Käfer, P S, da Rocha, N S, Veeck, G P, Diaz, L R, da Costa, S T L, Kaiser, E A, Roberti, D R & Rolim, S B A 2022, ' Assessing uncertainties in estimating surface energy fluxes from remote sensing over natural grasslands in Brazil ', Theoretical and Applied Climatology, vol. 148, no. 1-2, pp. 751-765 . https://doi.org/10.1007/s00704-021-03869-6

Evapotranspiration (ET) is one of the main fluxes in the global water cycle. As the Pampa biome carries a rich biodiversity, accurate information on the ET dynamics is essential to support its proper monitoring and establish conservation strategies.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2313a973fd09a1f54de819d1266528c7
https://doi.org/10.1007/s00704-021-03869-6

Land Surface Temperature Retrieval Using High-Resolution Vertical Profiles Simulated by WRF Model

Autor: Daniel Caetano Santos, Eduardo Andre Kaiser, Pâmela Suélen Käfer, S. T. L. Costa, Lucas Ribeiro Diaz, Nájila Souza da Rocha, Silvia Beatriz Alves Rolim

Publikováno v: Atmosphere, Vol 12, Iss 1436, p 1436 (2021)
Atmosphere, 12(11):1436, 1-22. Multidisciplinary Digital Publishing Institute (MDPI)
Atmosphere
Volume 12
Issue 11
Diaz, L R, Santos, D C, Käfer, P S, da Rocha, N S, da Costa, S T L, Kaiser, E A & Rolim, S B A 2021, ' Land surface temperature retrieval using high-resolution vertical profiles simulated by wrf model ', Atmosphere, vol. 12, no. 11, 1436, pp. 1-22 . https://doi.org/10.3390/atmos12111436

This work gives a first insight into the potential of the Weather Research and Forecasting (WRF) model to provide high-resolution vertical profiles for land surface temperature (LST) retrieval from thermal infrared (TIR) remote sensing. WRF numerical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c03376244fd7ad8251813797c50959ea
https://www.mdpi.com/2073-4433/12/11/1436

Artificial neural networks model based on remote sensing to retrieve evapotranspiration over the Brazilian Pampa

Autor: Gustavo Pujol Veeck, Guilherme Garcia de Oliveira, Débora Regina Roberti, Nájila Souza da Rocha, Daniel Caetano Santos, Eduardo Andre Kaiser, Pâmela Suélen Käfer, Silvia Beatriz Alves Rolim, Lucas Ribeiro Diaz

Publikováno v: Journal of Applied Remote Sensing. 14

Evapotranspiration (ET) quantification improves the comprehension of the water, heat, and carbon interactions and the feedback to the climate, which is essential for global change research. We aimed to model ET using artificial neural networks (ANNs)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::87c3a595e70f4a02083c1923a4449fbf
https://doi.org/10.1117/1.jrs.14.038504