Zobrazeno 1 - 10
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pro vyhledávání: '"remote sensing vegetation"'
Akademický článek
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Publikováno v:
ESPOCH Congresses, Vol 2, Iss 5, p 1313–1329 (2022)
Abstract The objective of this research is to characterize the vegetation cover and meteorological conditions through a multispectral analysis of the Chimborazo Wildlife Production Reserve. The methodology used for this research is the one proposed b
Externí odkaz:
https://doaj.org/article/f0150cf99d174e328da8062bc9c65892
Autor:
Shuang Zhu, Zuxiang Xiao, Xiangang Luo, Hairong Zhang, Xiuwei Liu, Rui Wang, Mingzhi Zhang, Zhibin Huo
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 6249-6259 (2020)
The impact of drought on ecosystems has become increasingly prominent. This study used the MODIS remote-sensing vegetation index and the standardized precipitation index to quantify vegetation coverage status and meteorological drought level. Using t
Externí odkaz:
https://doaj.org/article/ff8143a62a7b4d0dac1bab194042f532
Autor:
Nguyen Thi Thanh Thao, Dao Nguyen Khoi, Antoine Denis, Luong Van Viet, Joost Wellens, Bernard Tychon
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 2975 (2022)
Given the present climate change context, accurate and timely coffee yield prediction is critical to all farmers who work in the coffee industry worldwide. The aim of this study is to develop and assess a coffee yield forecasting method at the region
Externí odkaz:
https://doaj.org/article/375d534da4494e70b4e762e90608a2c4
Autor:
Hanaa I. Ali
Publikováno v:
Iraqi Journal of Physics, Vol 12, Iss 24 (2019)
Remote sensing provide the best means to monitoring change in vegetation over a wide range of temporal scales over large areas. In this study, the vegetation index which has been applied known as the Stress Related Vegetation Index (STVI) on in the a
Externí odkaz:
https://doaj.org/article/0ab107dfb11342b98a6a0cb7b49acef9
Autor:
Huanyang, Zhao
Unmanned Aerial Vehicles (UAVs) have been a popular tool for close-range remote sensing of vegetation for the past decade. They are often equipped with multispectral cameras, making them a cost-effective option for data collection in precision agricu
Publikováno v:
Revista Geama, Vol 2, Iss 4, Pp 407-416 (2016)
The GIS is considered one of the most important tools for understanding the structure and dynamics of vegetation cover in various temporal and spatial scales, when used in the landscape’s ecology provides information for man's relationship study of
Externí odkaz:
https://doaj.org/article/aba4dce00bda4a37ba6301927e2cc4fb
Autor:
KARAKOÇ, Ahmet, KARABULUT, Murat
Publikováno v:
Volume:, Issue: 43 77-91
Coğrafya Dergisi
Coğrafya Dergisi
Bu çalışma, farklı ekolojik koşullara sahip otlaklarda, kanopi düzeyinde klorofil içeriğini hiperspektral vejetasyon indeksleri kullanarak tahmin etmeyi hedeflemiştir. Bunun için ~500 m, ~1200 m ve ~1400 m olmak üzere üç farklı yükselt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dced706cd8b1858178804c23b6a22a21
https://doi.org/10.26650/jgeog2021-865289
https://doi.org/10.26650/jgeog2021-865289
Autor:
Gutiérrez-Hernández, Oliver
Publikováno v:
Boletín de la Asociación de Geógrafos Españoles.
La dinámica de la vegetación está controlada por factores climáticos y antropogénicos y su estudio facilita indicadores para el estudio multiescalar de tendencias ambientales. En este trabajo, se realizó un análisis de tendencia interanual del
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::083741d509aadb21574edf717afe8bf3
https://doi.org/10.21138/bage.3246
https://doi.org/10.21138/bage.3246
Autor:
Moura, Valdir
Publikováno v:
Biblioteca Digital de Teses e Dissertações do UNIOESTE
Universidade Estadual do Oeste do Paraná (UNIOESTE)
instacron:UNIOESTE
Universidade Estadual do Oeste do Paraná (UNIOESTE)
instacron:UNIOESTE
Submitted by Neusa Fagundes (neusa.fagundes@unioeste.br) on 2022-12-12T12:48:14Z No. of bitstreams: 2 Valdir_Moura2022.pdf: 6904287 bytes, checksum: 0b98cc4ea53ef29c8af3f9a1c46162d6 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf842
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::ac03208670a8f481b24d9311070ea953
https://tede.unioeste.br/handle/tede/6354
https://tede.unioeste.br/handle/tede/6354