Results 21 to 30 of about 1,146,490 (325)

Comparison of Land Use Land Cover Classifiers Using Different Satellite Imagery and Machine Learning Techniques

Remote Sensing, 2022
Accurate land use land cover (LULC) classification is vital for the sustainable management of natural resources and to learn how the landscape is changing due to climate.
S. Basheer, Xiuquan Wang, A. Farooque, Rana Ali Nawaz, Kai Liu, Toyin Adekanmbi, Suqi Liu   +6 more
semanticscholar   +1 more source

Wildfire Detection From Multisensor Satellite Imagery Using Deep Semantic Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Deriving the extent of areas affected by wildfires is critical to fire management, protection of the population, damage assessment, and better understanding of the consequences of fires.
D. Rashkovetsky, F. Mauracher, M. Langer, Michael Schmitt   +3 more
semanticscholar   +1 more source

Advancing Skyborne Technologies and High-Resolution Satellites for Pasture Monitoring and Improved Management: A Review

Remote Sensing, 2023
The timely and accurate quantification of grassland biomass is a prerequisite for sustainable grazing management. With advances in artificial intelligence, the launch of new satellites, and perceived efficiency gains in the time and cost of the ...
Michael Gbenga Ogungbuyi, Caroline Mohammed, Iffat Ara, Andrew M. Fischer, Matthew Tom Harrison   +4 more
doaj   +1 more source

Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

Nature Communications, 2020
Accurate and comprehensive measurements of economic well-being are fundamental inputs into both research and policy, but such measures are unavailable at a local level in many parts of the world. Here we train deep learning models to predict survey-based
Christopher Yeh, Anthony Perez, Anne Driscoll, G. Azzari, Zhongyi Tang, D. Lobell, Stefano Ermon, M. Burke   +7 more
semanticscholar   +1 more source

Deep learning detects invasive plant species across complex landscapes using Worldview‐2 and Planetscope satellite imagery

Remote Sensing in Ecology and Conservation, 2022
Effective management of invasive species requires rapid detection and dynamic monitoring. Remote sensing offers an efficient alternative to field surveys for invasive plants; however, distinguishing individual plant species can be challenging especially ...
Thomas A. Lake, Ryan D. Briscoe Runquist, D. A. Moeller   +2 more
semanticscholar   +1 more source

SeaMAE: Masked Pre-Training with Meteorological Satellite Imagery for Sea Fog Detection

Remote Sensing, 2023
Sea fog detection (SFD) presents a significant challenge in the field of intelligent Earth observation, particularly in analyzing meteorological satellite imagery. Akin to various vision tasks, ImageNet pre-training is commonly used for pre-training SFD.
Haotian Yan, Sundingkai Su, Ming Wu, Mengqiu Xu, Yihao Zuo, Chuang Zhang, Bin Huang   +6 more
doaj   +1 more source

Hash-Based Deep Learning Approach for Remote Sensing Satellite Imagery Detection

Water, 2022
Ship detection plays a crucial role in marine security in remote sensing imagery. This paper discusses about a deep learning approach to detect the ships from satellite imagery.
Samhitha Gadamsetty, Rupa Ch., Anusha Ch, C. Iwendi, T. Gadekallu   +4 more
semanticscholar   +1 more source

Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning

ISPRS International Journal of Geo-Information, 2022
Solar home systems (SHS), a cost-effective solution for rural communities far from the grid in developing countries, are small solar panels and associated equipment that provides power to a single household.
Simiao Ren, Jordan Malof, Rob Fetter, Robert Beach, Jay Rineer, Kyle Bradbury   +5 more
doaj   +1 more source

Automated Power Lines Vegetation Monitoring Using High-Resolution Satellite Imagery

IEEE Transactions on Power Delivery, 2022
Vegetation Management is a significant preventive maintenance expense in many power transmission and distribution companies. Traditional Vegetation Management operational practices have proven ineffective and are rapidly becoming obsolete due to the lack
M. Gazzea, Michael Pacevicius, D. Dammann, A. Sapronova, T. Lunde, R. Arghandeh   +5 more
semanticscholar   +1 more source

Production of orthophoto map using mobile photogrammetry and comparative assessment of cost and accuracy with satellite imagery for corridor mapping: a case study in Manesar, Haryana, India

Annals of GIS, 2023
The study aims to find a low-cost alternate technology to get imagery, using mobile platform, and produce digital orthophoto for corridor mapping, with a higher degree of accuracy and which can reduce the lag time of acquisition of data.
Manuj Dev, Shetru M Veerabhadrappa, Ashutosh Kainthola, Manas K Jha   +3 more
doaj   +1 more source