A5085293237- Rangeland Management and Livestock Ecology
- Remote Sensing in Agriculture
- Hydrology and Watershed Management Studies
- Groundwater and Watershed Analysis
- Remote Sensing and Land Use
- Indigenous Studies and Ecology
- Transboundary Water Resource Management
- Hydrocarbon exploration and reservoir analysis
- Remote-Sensing Image Classification
- Fire effects on ecosystems
- Ruminant Nutrition and Digestive Physiology
- Soil Carbon and Nitrogen Dynamics
- Land Use and Ecosystem Services
- Automated Road and Building Extraction
- Flood Risk Assessment and Management
- Wildlife Ecology and Conservation
Karlsruhe Institute of Technology
2024
Ludwig-Maximilians-Universität München
2020-2024
Philipps University of Marburg
2020
Fractional vegetation cover (FVC) and aboveground biomass (AGB) are critically important for monitoring grassland degradation, their accurate estimation can be used as key proxies assessing land degradation. The main purpose of this study was to estimate the FVC AGB in eastern Mongolian steppe using remote sensing machine learning. In context, spectral bands indices were extracted from processed Sentinel-2 data predictors. field derived pasture-monitoring database, which consisted 256 plots...
Abstract Grassland aboveground biomass (AGB) is a key variable to measure grassland productivity, and accurate assessment of AGB important for optimizing resource management understanding carbon, water, energy fluxes. Current approaches on large scales such as the Mongolian Steppe Ecosystem often combine field measurements with optical and/or synthetic aperture radar (SAR) data. Meanwhile, especially representativeness large‐scale analysis have seldom been accounted for. Therefore, we...
Grasslands play a crucial role in supplying essential resources for the livestock industry and supporting other ecosystem services such as biodiversity preservation soil carbon (C) storage. However, ability of these ecosystems to maintain is increasingly at risk due over-exploitation, environmental degradation, climate change, particularly weakening their effectively store C soils. Restoring degraded grasslands practical cost-effective approach mitigating change by increasing storage while...
Land degradation is a major environmental and social issue in temperate steppes. It commonly determined from vegetation cover using remote sensing techniques. Steppes eastern Mongolia are subject to resource extraction activities, such as mining oil extraction, which affect land degradation. Recent technological progress has facilitated the acquirement of high-resolution data by, for example, CubeSat satellite or unmanned aerial vehicles (UAV), providing detailed maps plant functional groups...
Abstract Background Grasslands are essential for providing vital resources in the livestock sector and delivering invaluable ecosystem services such as biodiversity soil carbon (C) sequestration. Despite their critical importance, these ecosystems face escalating threats from human disturbances, degradation, climate change, compromising ability to effectively stock C. Restoring degraded grasslands emerges a pragmatic cost-effective approach tackling change. However, successful implementation...
Information on the spatial distribution of human disturbance is important for assessing and monitoring land degradation. In Eastern Mongolian Steppe Ecosystem, one major driving factors human-induced degradation expansion road networks mainly due to intensifications oil exploration exploitation. So far, neither extents nor extent surrounding grasslands affected by industry are monitored which generally labor consuming. This causes that no information changes in area those drivers available....
Low accuracy of global land cover (LC) products at local and regional scales is concerning, because its huge impact on downstream applications. Therefore, developing a method for high LC maps scale utmost importance. Taking Mongolia as case study, we proposed simple, fast, accurate to produce annual with 250 m spatial resolution from 2001 2020 using MODIS data. Our have higher (Overall Accuracy ∼90%) compared MCD12Q1. These new are critical e.g., degradation research, desertification/forest...
Alpine pastures have shaped the landscapes of European Alps for millennia. However, more and alpine been abandoned since 1950s, e.g., due to work intensiveness at high altitudes. Such abandonment in long term leads natural reforestation. And despite ample potential surface mountains, pressure provide important ecosystem services by under auspices climate change nowadays concentrates on lowlands, because already are still very rarely re-established. Meanwhile, it has widely acknowledged that...
<p>Rapid changes in land use due to intensifications of oil exploration and exploitation adversely affect the Eastern Mongolian steppe ecosystem. The expansion supporting infrastructure dirt road networks for production contribute accelerate human-induced degradation process grasslands. So far, neither extents nor extent surrounding grasslands affected by industry are monitored which is generally labor consuming. This causes that no information on area those disturbance drivers...
The aim of this study was to determine the way recent climate change impacts morphometric changes in lakes various ecological zones Mongolia. We studied 4 located between 48 and 50°N as representative other environmental Mongolia determined correlation variables area, depth, volume these lakes. To analyze parameter variation lakes, we used normalized difference water index, trend analysis, aridity statistical analysis. According our calculations, have decreased during last 30 yr. Trend...
In the Eastern Mongolian Steppe Ecosystem, one of major driving factors human-induced land degradation is expansion road networks mainly due to intensifications oil exploration and exploitation. Modern remote sensing data machine learning techniques provide possibility detect monitor long-term changes use such as dirt linear infrastructure in exploitation area. This study determined use/cover period 2005–2018 estimated effects roads on surrounding grasslands ecosystems using multi-temporal...