Salinization of soil is one the most important environmental issues in arid and semi-arid areas. Accordingly, agricultural production ecological development have been profoundly influenced these regions. Therefore, it becoming increasingly to assess salinization its driving factors. However, salinity difficult accurately characterize by using single-factor linear models. Thus, necessary develop a robust modeling technique integrating multiple biophysical indicators quantitatively monitor...

Yellow River Basin in China, where streamflow dynamics were significantly impacted by human activities. We introduced a deep learning-based method, i.e., Data Integration (DI) with Long Short-Term Memory (LSTM), which leverages Global Flood Awareness System (GloFAS) data. Multiscale (Catchment, River) attributes incorporated into the DI LSTM to represent disturbances on land surface. employed this method reconstruct daily series 60 human-regulated catchments across Basin, and identified...

Aims This study primarily aims to investigate the spatiotemporal evolution patterns of fractional vegetation cover (FVC) in grasslands Xinjiang section Tianshan Mountains over period 2001 2020.It seeks elucidate determinants these patterns, emphasizing influence types, livestock farming practices, precipitation levels, and mean annual air temperature.Ultimately, goal is contribute important insights that will inform decisions concerning sustainable management ecological conservation...

Accurate real-time information about the spatial and temporal dynamics of soil salinization is crucial for preventing aggravation achieving sustainable development ecological environment. With Bosten Lake watershed as study area, in this study, regional risk factors were identified, was extracted, remote sensing-based index (RSEI) assessed through combined use sensing (RS) geographic system (GIS) techniques measurements soils samples collected from various field sites. The results revealed...

The Bosten Lake is the largest inland freshwater lake of China, in which water level and salinity fluctuate due to imbalance between inflows outflows under climate change anthropogenic activities. This paper employed system dynamics as an effective methodology grasp regulation rules for sustainable management Lake. Results show following. (1) Changing not only affected by entering leaving, but mostly a result exchange rate (WER) fluctuation. (2) According estimated regime regulations, it...

Low-cost and efficient dynamic monitoring of surface salinization information is critical in arid semi-arid regions, we conducted a remote sensing inversion exercise for soil salinity the Bosten Lake watershed Xinjiang, Northwest China, with total area about 43,930 km 2 , typical an area. Sentinel MSI Landsat OLI data were combined measured July 2020, optimal combination bands selected based on characteristic to create grid search-support vector machine (GS-SVM) model salt content. The...

This study utilized satellite data and the published coefficients about world China's ecosystem to analyze effects of oasis land-use change on services in Keriya Oasis where both economic development arid, fragile ecosystems have strongly affected land use. A sensitivity analysis was employed determine effect manipulating these estimated values. Results indicated that: (1) total values service were $232.2 million. $212.8 million, $207.2 million 1991, 2002, 2008, respectively, net decline...

Climate change has a global impact on the water cycle and its spatial patterns, these impacts are more pronounced in eco-fragile regions. Arid regions significantly affected by human activities like farming, climate change, which influences lake volumes, especially different latitudes. This study integrates radar altimetry data from 2002 to 2018 with optical remote sensing images analyze changes areas, levels, volumes at altitudes Xinjiang, China. We analyzed March, June, October studied...

Lake ice phenology (LIP), hiding information about lake energy and material exchange, serves as an important indicator of climate change. Utilizing efficient technique to swiftly extract is crucial in the field research. The Bayesian ensemble change detection (BECD) algorithm stands out a powerful tool, requiring no threshold compared other algorithms and, instead, utilizing probability abrupt changes detect positions. This method predominantly employed by automatically extracting points...

Timely and accurate extraction of crop planting units plays a critical role in yield estimation, soil management, food supplies, disaster warnings. However, precisely mapping types is challenging smallholder farming systems due to heterogeneous mixed pixels, where field sizes are small, very diverse. In this paper, the type system Huocheng County northwest China as an example area, classification feature variables constructed using Sentinel-2 remote sensing images, combining ReliefF...

Lake ice phenology directly reflects local climate changes, serving as a key indicator of change. In today’s rapidly evolving climate, utilizing advanced remote sensing techniques to quickly extract long-term lake features and studying their correlation with other factors is crucial. This study focuses on lakes in Xinjiang, China, mountainous area greater than 100 km2, including Sayram Lake, Ayahkum Achihkul Jingyu Ahsaykan Lake. The Bayesian ensemble change detection algorithm was employed...

Abstract The Bosten Lake watershed investigated in this study has seen significant land cover and climate change. spatiotemporal relationship between evapotranspiration (ET) environmental factors remain unclear. In study, trend analysis correlation methods are applied to analyze the characteristics of ET its driving using remotely sensed data measured 2001 2018. During period, high values primarily occurr wetlands plain area mid‐elevation mountain areas. show a significantly increasing...

This paper analyzed Grey Correlation Degree between infrastructures and city comprehensive scale of 22 cities in Xinjiang by Comprehensive Relation (CGCD) method with date 1978-2007. The results showed: CGCD cites belong to middle correlation strong types; Cities type mainly are Economic Belt on the Northern Slop Tianshan Mountains, South Xinjiang; have increased gradually but less 1997 - 2007. article proposed some advices about improvement infrastructure scale.

为了探明干旱区流域地表蒸散量时空分布及其变化特征，从而为流域水资源规划、旱涝检测和生态需水量研究提供科学依据，本文基于MOD16蒸散产品和气象站观测数据，运用线性倾向率和相对变化率等方法，分析了艾比湖流域2000-2014年地表实际蒸散（Ea）与潜在蒸散（Ep）的时空分布特征及其变化趋势，进一步揭示二者之间的关系。结果表明：1）近15年内艾比湖流域地表Ea、Ep年际波动不大，多年平均Ea与Ep分别为315.76和1 555.27 mm，年平均Ea与Ep的较大差距说明流域整体上缺水、干旱。年内分布处于先增大后减少的单峰型变化趋势，夏季两者差距最大，此时流域最干旱、缺水；2）流域Ea与Ep的空间分布状况正好相反。西北山区、精河-博乐绿洲区、北天山的西段支脉，玛依力山脉等区域水分比较充足。流域东部大范围地区、精河-博乐绿洲周围等区域干旱缺水。3）影响因素分析显示气温是影响流域Ea、Ep时空分布变化的主要因素；4）2000-2014年间Ea总体上处于减少趋势，Ep处于增加趋势，说明流域近15年内干旱加重。

The Junggar Basin investigated in this study has seen significant land cover and climate change. However, the spatiotemporal relationship between net primary productivity (NPP) environmental factors remain unclear. Thus, we applied trend analysis correlation methods to investigate characteristics of NPP its with driving using remotely sensed data measured from 2000 2015. During period, high values mainly occurred forests mid-elevation mountain areas. showed an increasing different vegetation...