A brief review of random forests for water scientists and practitioners and their recent history in water resources
Random forests (RF) is a supervised machine learning algorithm, which has recently started
to gain prominence in water resources applications. However, existing applications are …
to gain prominence in water resources applications. However, existing applications are …
Morphometric based prioritization of watershed for groundwater potential of Mula river basin, Maharashtra, India
Morphometric analysis gives a quantitative description of drainage basin. The main aim of
the present study is to identify the morphometric parameters of a watershed of Mula River …
the present study is to identify the morphometric parameters of a watershed of Mula River …
Morphometric analysis for prioritizing sub-watersheds of Murredu River basin, Telangana State, India, using a geographical information system
Abstract The Murredu watershed in Telangana State was chosen for the morphometric and
land use/land cover (LULC) analysis in this current study. Geographical information system …
land use/land cover (LULC) analysis in this current study. Geographical information system …
Evaluation of water quality index and geochemical characteristics of surfacewater from Tawang India
N Gaur, A Sarkar, D Dutta, BJ Gogoi, R Dubey… - Scientific Reports, 2022 - nature.com
In this study, the water samples were collected from 31 sites of Tawang, Arunachal Pradesh,
India (North-Eastern Himalaya), during the winter season to check the suitability of water for …
India (North-Eastern Himalaya), during the winter season to check the suitability of water for …
A new clustering method to generate training samples for supervised monitoring of long-term water surface dynamics using Landsat data through Google Earth …
Water resources are vital to the survival of living organisms and contribute substantially to
the development of various sectors. Climatic diversity, topographic conditions, and uneven …
the development of various sectors. Climatic diversity, topographic conditions, and uneven …
Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery
C Chen, X He, Z Liu, W Sun, H Dong, Y Chu - Scientific Reports, 2020 - nature.com
The monitoring of economic activities is of great significance for understanding regional
economic development level and policymaking. As the carrier of economic activities, land …
economic development level and policymaking. As the carrier of economic activities, land …
MU-Net: Embedding MixFormer into Unet to Extract Water Bodies from Remote Sensing Images
Y Zhang, H Lu, G Ma, H Zhao, D ** using the automatic k-means based approach and sentinel-2 imagery
Rivers, lakes, and open water bodies play crucial roles in environmental development,
especially in urban ecosystems. Accurate urban surface water body maps in high resolution …
especially in urban ecosystems. Accurate urban surface water body maps in high resolution …
Machine learning for gully feature extraction based on a pan-sharpened multispectral image: Multiclass vs. Binary approach
Gullies reduce both the quality and quantity of productive land, posing a serious threat to
sustainable agriculture, hence, food security. Machine Learning (ML) algorithms are …
sustainable agriculture, hence, food security. Machine Learning (ML) algorithms are …