Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, China

Autor: Wei Wang, Rongyuan Liu, Fuping Gan, Ping Zhou, Xiangwen Zhang, Ling Ding

Publikováno v: Remote Sensing, Vol 13, Iss 7, p 1350 (2021)

The ecological restoration of mining areas is very important, and repeated field surveys are inefficient in large-scale vegetation monitoring. The coal mining industry is currently facing the challenge of the lack of appropriate methods for monitorin

Externí odkaz: https://doaj.org/article/5765e6fed8f547b2b38141354da62ac5

Correlación del contenido de clorofila foliar de la especie Coffea arabica con índices espectrales en imágenes

Autor: Solis, Andrés Felipe, Revelo luna , David Armando, Campo Ceballos , Diego Andrés, Gaviria López , Carlos Alberto

Publikováno v: Biotechnology in the Agricultural and Agroindustrial Sector; Vol. 19 No. 2 (2021): July to December; 51-68
Biotecnología en el Sector Agropecuario y Agroindustrial; Vol. 19 Núm. 2 (2021): Julio a Diciembre; 51-68

Chlorophyll is a fundamental pigment for the photosynthetic processes of plant species and constitutes a limitation in agricultural production. The estimation of the content of leaf chlorophyll (LCC) is generally carried out through invasive spectrop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=revistacauca::769c34ef42728b933b3779d83e59e3da
http://revistas.unicauca.edu.co/index.php/biotecnologia/article/view/1536

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EVALUATION OF SENTINEL-2 MSI DATA FOR LAND USE / LAND COVER CLASSIFICATION USING DIFFERENT VEGETATION INDICES

Autor: Filiz Bektas Balcik

Publikováno v: Volume: 6 839-846
Selçuk Üniversitesi Mühendislik, Bilim Ve Teknoloji Dergisi
Selcuk University Journal of Engineering, Science and Technology; Cilt 6, Özel Sayı 2018, Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi; 839-846
Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi; Cilt 6, Özel Sayı 2018, Selçuk Üniversitesi Mühendislik, Bilim ve Teknoloji Dergisi; 839-846

Accurate determination of Land Use/Land Cover (LULC) categories has very important role for environmental monitoring and management applications. Classification of remotely sensed data is one of the popular method to determine LULC information in dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c89a056c41436cf2b856e3cbac12c5a
https://dergipark.org.tr/tr/pub/sujest/issue/42117/506614

Farklı Bitki Endeksleri Kullanarak Arazi Kullanımı/ Arazi Sınıflandırması İçin SENTINEL-2 MSI Verilerinin Değerlendirilmesi

Autor: Bektaş Balçık, Filiz

Accurate determination of Land Use/Land Cover (LULC) categories has very important role for environmental monitoring and management applications. Classification of remotely sensed data is one of the popular method to determine LULC information in dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4883::9b0bda89ce735cabb6fd8de7ab7921f1
https://hdl.handle.net/20.500.12395/41238