Výsledky vyhledávání - "Landsat-8 satellite"

Akademický článek

Estimating the Accuracy of the TanDEM-X Digital Elevation Model in the Simulation of Flood Hydraulic Characteristics (Case Study: Atrak River Basin)

Autor: ٍEsmaeel Parizi, Seiyed Mossa Hosseini

Publikováno v: جغرافیا و برنامه‌ریزی محیطی, Vol 34, Iss 2, Pp 113-134 (2023)

AbstractHydraulic modelling of floods plays an important role in flood management and the related risk reduction. The case study in this research was a 20-km reach of the Atrak River in the upstream of Maraveh Tappeh City, which is one of the most ha

Externí odkaz: https://doaj.org/article/f225f1671cd4476eb743f274f9d97609

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Akademický článek

AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data

Autor: Sarah Mazhar, Guangmin Sun, Anas Bilal, Bilal Hassan, Yu Li, Junjie Zhang, Yinyi Lin, Ali Khan, Ramsha Ahmed, Taimur Hassan

Publikováno v: Remote Sensing, Vol 14, Iss 14, p 3283 (2022)

Water is a vital component of life that exists in a variety of forms, including oceans, rivers, ponds, streams, and canals. The automated methods for detecting, segmenting, and mapping surface water have improved significantly with the advancements i

Externí odkaz: https://doaj.org/article/a24df80b085a4b4684b1fd4fcea902b0

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Akademický článek

Estimation of Soil Salt Content and Organic Matter on Arable Land in the Yellow River Delta by Combining UAV Hyperspectral and Landsat-8 Multispectral Imagery

Autor: Mingyue Sun, Qian Li, Xuzi Jiang, Tiantian Ye, Xinju Li, Beibei Niu

Publikováno v: Sensors, Vol 22, Iss 11, p 3990 (2022)

Rapid and large-scale estimation of soil salt content (SSC) and organic matter (SOM) using multi-source remote sensing is of great significance for the real-time monitoring of arable land quality. In this study, we simultaneously predicted SSC and SO

Externí odkaz: https://doaj.org/article/ff6d7ba526244520a2b3948f4f3724b5

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Akademický článek

Strategy for assessment of disaster risk using typhoon hazards modeling based on chlorophyll-a content of seawater

Autor: Di Wu, Mengxing Huang, Yu Zhang, Uzair Aslam Bhatti, Qiong Chen

Publikováno v: EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-12 (2018)

Abstract With deterioration of the global climate situation, the frequency and uncertainty of typhoons are the major causes of their hazards in tropical coastal regions, both in terms of loss of life and economic damage. Heavy rainfall triggers massi

Externí odkaz: https://doaj.org/article/27dfb99c89074f7d87aa7b61adde88ee

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Investigation of 6-Year Land Use Change of Sakarya River Around İnhisar (Bilecik) using Remote Sensing

Autor: GÜNEŞ, Coşkun, UYGUÇGİL, Hakan

Publikováno v: Volume: 3, Issue: 2 112-125
Turkish Journal of Remote Sensing and GIS
Türk Uzaktan Algılama ve CBS Dergisi

İnhisar (Bilecik) is located in the center-east of the study area, which is bounded by Söğüt (Bilecik) in the southwest and Yenipazar (Bilecik) in the northeast. Sakarya River, located in the center of the study area, provides continuity in the E

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39e42cb4e94ebeb0a8a58d1f60c2ef98
https://doi.org/10.48123/rsgis.1111906

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Akademický článek

Harvest chronological planning using a method based on satellite-derived vegetation indices and artificial neural networks

Autor: Sepideh Taghizadeh, Hossin Navid, Reza Adiban, Yasser Maghsodi

Publikováno v: Spanish Journal of Agricultural Research, Vol 17, Iss 3, Pp e0206-e0206 (2019)

Aim of study: Wheat appropriate harvest date (WAHD) is an important factor in farm monitoring and harvest campaign schedule. Satellite remote sensing provides the possibility of continuous monitoring of large areas. In this study, we aimed to investi

Externí odkaz: https://doaj.org/article/85b21eb005fd4a3aafce55757f0c0141

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