A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities

W Han, X Zhang, Y Wang, L Wang, X Huang… - ISPRS Journal of …, 2023 - Elsevier
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …

NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms

K Cawse-Nicholson, PA Townsend, D Schimel… - Remote sensing of …, 2021 - Elsevier
Abstract The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing
Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …

Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

A Chlingaryan, S Sukkarieh, B Whelan - Computers and electronics in …, 2018 - Elsevier
Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …

A review of practical ai for remote sensing in earth sciences

B Janga, GP Asamani, Z Sun, N Cristea - Remote Sensing, 2023 - mdpi.com
Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for
revolutionizing data analysis and applications in many domains of Earth sciences. This …

Multi-and hyperspectral geologic remote sensing: A review

FD Van der Meer, HMA Van der Werff… - International journal of …, 2012 - Elsevier
Geologists have used remote sensing data since the advent of the technology for regional
mapping, structural interpretation and to aid in prospecting for ores and hydrocarbons. This …

Advances in groundwater potential mapping

S Díaz-Alcaide, P Martínez-Santos - Hydrogeology Journal, 2019 - Springer
Groundwater resources can be expected to be increasingly relied upon in the near future, as
a consequence of rapid population growth and global environmental change. Cost-effective …

[图书][B] Fundamentals of satellite remote sensing: An environmental approach

E Chuvieco - 2020 - taylorfrancis.com
Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a
definitive guide to remote sensing systems that focuses on satellite-based remote sensing …

[HTML][HTML] Soil salinity mapping and monitoring in arid and semi-arid regions using remote sensing technology: a review

A Allbed, L Kumar - Advances in remote sensing, 2013 - scirp.org
Soil salinity is a serious environmental problem especially in arid and semiarid areas. It
either occurs naturally or is human-induced. High levels of soil salinity negatively affect crop …

[图书][B] Computer processing of remotely-sensed images

PM Mather, M Koch - 2022 - books.google.com
Computer Processing of Remotely-Sensed Images A thorough introduction to computer
processing of remotely-sensed images, processing methods, and applications Remote …

Identifying high potential zones of gold mineralization in a sub-tropical region using Landsat-8 and ASTER remote sensing data: a case study of the Ngoura …

JDT Wambo, AB Pour, S Ganno, PD Asimow… - Ore Geology …, 2020 - Elsevier
Climatic conditions and vegetation constrain the use of optical satellite imagery as an
exploration tool for hydrothermal ore mineralization in tropical and subtropical regions. In …