Geoinformation technologies in support of environmental hazards monitoring under climate change: An extensive review
Human activities and climate change constitute the contemporary catalyst for natural
processes and their impacts, ie, geo-environmental hazards. Globally, natural catastrophic …
processes and their impacts, ie, geo-environmental hazards. Globally, natural catastrophic …
[HTML][HTML] Remote sensing for monitoring rangeland condition: current status and development of methods
This paper reviews the current status and development of remote sensing methods for
monitoring rangeland condition. Remote sensing offers ideal solutions for assessing …
monitoring rangeland condition. Remote sensing offers ideal solutions for assessing …
Improved digital soil mapping with multitemporal remotely sensed satellite data fusion: A case study in Iran
S Fathololoumi, AR Vaezi, SK Alavipanah… - Science of the Total …, 2020 - Elsevier
Modeling and mapping of soil properties are critical in many environmental, climatic,
ecological and hydrological applications. Digital soil mapping (DSM) techniques are now …
ecological and hydrological applications. Digital soil mapping (DSM) techniques are now …
Minimising soil organic carbon erosion by wind is critical for land degradation neutrality
Abstract The Land Degradation-Neutrality (LDN) framework of the United Nations
Convention to Combat Desertification (UNCCD) is underpinned by three complementary …
Convention to Combat Desertification (UNCCD) is underpinned by three complementary …
Indicators and benchmarks for wind erosion monitoring, assessment and management
Wind erosion and blowing dust threaten food security, human health and ecosystem
services across global drylands. Monitoring wind erosion is needed to inform management …
services across global drylands. Monitoring wind erosion is needed to inform management …
A novel forecasting model for wind speed assessment using sentinel family satellites images and machine learning method
Wind energy produced in near and offshore farms is constantly increasing, mainly thanks to
the use of new technologies and the economic costs decrease. Data coming from satellites …
the use of new technologies and the economic costs decrease. Data coming from satellites …
Quantitative soil wind erosion potential mapping for Central Asia using the Google Earth Engine platform
A lack of long-term soil wind erosion data impedes sustainable land management in
developing regions, especially in Central Asia (CA). Compared with large-scale field …
developing regions, especially in Central Asia (CA). Compared with large-scale field …
Satellites reveal Earth's seasonally shifting dust emission sources
A Chappell, NP Webb, M Hennen, K Schepanski… - Science of the Total …, 2023 - Elsevier
Establishing mineral dust impacts on Earth's systems requires numerical models of the dust
cycle. Differences between dust optical depth (DOD) measurements and modelling the cycle …
cycle. Differences between dust optical depth (DOD) measurements and modelling the cycle …
Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis …
Designing predictive models of global solar radiation can be an effective renewable energy
feasibility studies approach to resolve future problems associated with the supply, reliability …
feasibility studies approach to resolve future problems associated with the supply, reliability …
Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery
The leaf, which is a crucial indicator for evaluating crop status, plays an important role in
plants' functions. Determining and monitoring leaf parameters can facilitate the detection …
plants' functions. Determining and monitoring leaf parameters can facilitate the detection …