Zobrazeno 1 - 10
of 206
pro vyhledávání: '"sentinel-2 imagery"'
Publikováno v:
JTSL (Jurnal Tanah dan Sumberdaya Lahan), Vol 11, Iss 2, Pp 327-338 (2024)
Critical land is a condition of land that is no longer able to carry out its functions properly because it has experienced physical, chemical, and biological damage. One area that has the potential to experience critical land problems is the Cikapund
Externí odkaz:
https://doaj.org/article/0564f75a2d754ffc9594614f343936b9
Autor:
Ngo Thanh Son, Nguyen Duc Loc
Publikováno v:
Applied Environmental Research, Vol 46, Iss 4 (2024)
This study aims to establish the optimal regression model for predicting total suspended solids (TSS) and Turbidity based on in situ data and spectral regions of Sentinel-2 images. Various machine learning models were evaluated, including Multilayer
Externí odkaz:
https://doaj.org/article/43abc5276f754a619eef2052a33d8324
Autor:
Chanida Suwanprasit, Shahnawaz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Monitoring burned areas in Thailand and other tropical countries during the post-harvest season is becoming increasingly important. High-resolution remote sensing data from Sentinel-2 satellites, which have a short revisit time, is ideal for
Externí odkaz:
https://doaj.org/article/c467c0a6ba6d4bdf8f1f34827381c59b
Autor:
Naledzani Ndou, Nolonwabo Nontongana
Publikováno v:
Hydrology, Vol 11, Iss 10, p 164 (2024)
Accurate monitoring of estuarine turbidity patterns is important for maintaining aquatic ecological balance and devising informed estuarine management strategies. This study aimed to enhance the prediction of estuarine turbidity patterns by enhancing
Externí odkaz:
https://doaj.org/article/e193baafe1ab4193b399f15f4f26ca6b
Autor:
Mohamed Zakzouk, Islam Abou El-Magd, Elham M Ali, Abdulaziz M Abdulaziz, Amjad Rehman, Tanzila Saba
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102520- (2024)
Oil spills are a paramount and immediate challenge affecting marine ecosystems globally. Effective and timely monitoring tools, such as oil detection indices, offer a swift means to track oil spill spread across vast oceanic expanses. Moreover, these
Externí odkaz:
https://doaj.org/article/c43a1aa66657473bb7d4cc8316043be4
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3391 (2024)
Accurately mapping the surface water bodies through remote sensing technology is of great significance for water resources management, flood monitoring, and drought monitoring. At present, many scholars at home and abroad carry out research on deep l
Externí odkaz:
https://doaj.org/article/f2bffc4674c24d578ab9a582dbf91094
Autor:
Akaolisa Casmir Chukwuemeka, Agbasi Okechukwu Ebuka, Etuk Sunday Edet, Adewumi Rowland, Okoli Emeka Austin
Publikováno v:
Journal of Landscape Ecology, Vol 16, Iss 2, Pp 98-113 (2023)
Analysis of the impacts of real estate development on biodiversity within the confines of Imo State, Nigeria, was the main objective of this study. The investigation included a look at how land use and land cover (LULC) changed between 2017 and 2022.
Externí odkaz:
https://doaj.org/article/86e48434005e4ccca1e50c658e94e9b4
Publikováno v:
Journal of Applied Geospatial Information, Vol 7, Iss 2, Pp 845-852 (2023)
In ocean remote sensing, the intensity of light entering the water column decreases exponentially with increasing depth due to scattering and particle absorption in the water column. This process of decreasing light intensity is called attenuation. A
Externí odkaz:
https://doaj.org/article/fa7785b04ce74c38819627b3451a3ee6
Autor:
Xiaoli Zhang, Hanwen Shen, Tianbao Huang, Yong Wu, Binbing Guo, Zhi Liu, Hongbin Luo, Jing Tang, Hang Zhou, Leiguang Wang, Weiheng Xu, Guanglong Ou
Publikováno v:
Ecological Indicators, Vol 159, Iss , Pp 111752- (2024)
A simpler, unbiased, and comprehensive random forest (RF) model is needed to improve the accuracy of aboveground biomass (AGB) estimation. In this study, data were obtained from 128 sample plots of Pinus yunnanensis forest located in Chuxiong prefect
Externí odkaz:
https://doaj.org/article/6bf56c0c9c754bd181cad49b56fecfc8
Autor:
Philemon Tsele, Abel Ramoelo
Publikováno v:
Geocarto International, Vol 39, Iss 1 (2024)
Biophysical variables such as leaf area index (LAI) and leaf chlorophyll content (LCC) are cited as essential biodiversity variables. A comprehensive comparison and integration of retrieval methods is needed for the estimation of biophysical variable
Externí odkaz:
https://doaj.org/article/21cf54871af94bf888545bfaffb7d2b1