Geoinformation technologies in support of environmental hazards monitoring under climate change: An extensive review

A Tsatsaris, K Kalogeropoulos, N Stathopoulos… - … International Journal of …, 2021 - mdpi.com
Human activities and climate change constitute the contemporary catalyst for natural
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

A Retallack, G Finlayson, B Ostendorf, K Clarke… - Environmental and …, 2023 - Elsevier
This paper reviews the current status and development of remote sensing methods for
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 …

Minimising soil organic carbon erosion by wind is critical for land degradation neutrality

A Chappell, NP Webb, JF Leys, CM Waters… - Environmental science & …, 2019 - Elsevier
Abstract The Land Degradation-Neutrality (LDN) framework of the United Nations
Convention to Combat Desertification (UNCCD) is underpinned by three complementary …

Indicators and benchmarks for wind erosion monitoring, assessment and management

NP Webb, E Kachergis, SW Miller, SE McCord… - Ecological …, 2020 - Elsevier
Wind erosion and blowing dust threaten food security, human health and ecosystem
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

MM Nezhad, A Heydari, E Pirshayan, D Groppi… - Renewable Energy, 2021 - Elsevier
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 …

Quantitative soil wind erosion potential mapping for Central Asia using the Google Earth Engine platform

W Wang, A Samat, Y Ge, L Ma, A Tuheti, S Zou… - Remote Sensing, 2020 - mdpi.com
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 …

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 …

Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis …

S Ghimire, RC Deo, NJ Downs, N Raj - Remote Sensing of Environment, 2018 - Elsevier
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 …

Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery

M Jamali, S Soufizadeh, B Yeganeh, Y Emam - Ecological Informatics, 2023 - Elsevier
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 …