Short-term forecasting using a unique ensemble technique for proactive environmental management initiatives
Particulate matter with a diameter of 2.5 microns or less (PM 2.5) is a significant type of air
pollution that affects human health due to its ability to persist in the atmosphere and …
pollution that affects human health due to its ability to persist in the atmosphere and …
Monitoring and prediction of the LULC change dynamics using time series remote sensing data with Google Earth Engine
Urbanization is a significant global problem affecting many regions facing climate change.
Land use land cover (LULC), land surface temperature (LST), urban sprawl, and significant …
Land use land cover (LULC), land surface temperature (LST), urban sprawl, and significant …
Bathymetry retrieval from spaceborne multispectral subsurface reflectance
A few scholars have developed the models for retrieval of water depth from subsurface
reflectance of multispectral images to avoid the influences of sun glitter. However, the …
reflectance of multispectral images to avoid the influences of sun glitter. However, the …
Evaluation of land use land cover changes in response to land surface temperature with satellite indices and remote sensing data
Q Zhao, M Haseeb, X Wang, X Zheng, Z Tahir… - Rangeland Ecology & …, 2024 - Elsevier
Land use and land cover (LULC) changes are known as the main factors causing soil
degradation, which presents considerable obstacles to maintaining soil quality and the …
degradation, which presents considerable obstacles to maintaining soil quality and the …
Remote Sensing for Agriculture in the Era of Industry 5.0–A survey
N Victor, PKR Maddikunta, DRK Mary… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Agriculture can be regarded as the backbone of human civilization. As technology evolved,
the synergy between agriculture and remote sensing has brought about a paradigm shift …
the synergy between agriculture and remote sensing has brought about a paradigm shift …
A novel evolutionary combination of artificial intelligence algorithm and machine learning for landslide susceptibility map** in the west of Iran
Y Shen, A Ahmadi Dehrashid, RA Bahar… - … Science and Pollution …, 2023 - Springer
Detecting and map** landslides are crucial for effective risk management and planning.
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
With the great progress achieved in applying optimized and hybrid methods, it is necessary …
[HTML][HTML] A local enhanced mamba network for hyperspectral image classification
C Wang, J Huang, M Lv, H Du, Y Wu, R Qin - International Journal of …, 2024 - Elsevier
Deep learning has significantly advanced hyperspectral image (HSI) classification, primarily
due to its robust nonlinear feature extraction capabilities. The vision transformer has …
due to its robust nonlinear feature extraction capabilities. The vision transformer has …
A comparative study of machine learning models for daily and weekly rainfall forecasting
Accurate rainfall forecasting is crucial for various sectors across diverse geographical
regions, including Uttarakhand, Uttar Pradesh, Haryana, Punjab, Himachal Pradesh …
regions, including Uttarakhand, Uttar Pradesh, Haryana, Punjab, Himachal Pradesh …
Analysis for 3-D morphology structural changes for underwater topographical in Culebrita Island
G Zhou, Z Yang - International Journal of Remote Sensing, 2023 - Taylor & Francis
In order to discover how a storm impacts underwater topographic changes, the underwater
terrain morphological and structural changes in Culebrita Island were analysed. Airborne …
terrain morphological and structural changes in Culebrita Island were analysed. Airborne …
Development of the artificial neural network's swarm-based approaches predicting East Azerbaijan landslide susceptibility map**
Y Sun, H Dai, L Xu, A Asaditaleshi… - Environment …, 2023 - Springer
The objective of this investigation is to produce maps identifying areas prone to landslides
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …
(LSMs) by utilizing multiple machine learning techniques, including the harmony search …