The dynamics of surface water play a crucial role in the hydrological cycle and are sensitive to climate change anthropogenic activities, especially for agricultural zone. As one most populous areas China’s river basins, Huai River Basin has significant impacts on plants, ecological balance, socioeconomic development. However, it is unclear how responded exploitation past decades. To understand changes Basin, this study used available 16,760 scenes Landsat TM, ETM+, OLI images region from...

With the decline of cultivated land quality and area in recent decades, intensification use plays an important role meeting growing demand for food. Cropping intensity refers to number crop planting cycles one year, which is improving food production safety at local, regional national scales. Therefore, it necessary develop accurate high spatial resolution dataset cropping intensity. The existing datasets were generally developed based on MODIS or Landsat images, both have defects temporal...

With the increasing population and continuation of climate change, an adequate food supply is vital to economic development social stability. Winter crops are important crop types in China. Changes winter planting areas not only have a direct impact on China’s production economy, but also potentially affects security. Therefore, it necessary obtain information crops. In this study, we use time series data individual pixels, calculate temporal statistics spectral bands vegetation indices...

Drought is one of the most complex and least-understood environmental disasters that can trigger environmental, societal, economic problems. To accurately assess drought conditions in Yellow River Basin, this study reconstructed Land Surface Temperature (LST) using Annual Cycle (ATC) model Normalized Difference Vegetation Index (NDVI). The Condition (TCI), (VCI), Health (VHI), Temperature-Vegetation (TVDI), which are four typical remote sensing indices, were calculated. Then, air...

The rapid development of the web geographic information system (Web GIS) has promoted new vitality in high school geography education, relieved stress teachers caused by software and technical problems, made it possible for to devote more energy teaching research activities. Natural disaster education is not only an important part curriculum, but also indispensable aspect sustainable (ESD) students. application Web GIS dynamic monitoring, forecast, early warning natural disasters becoming...

Drought events have occurred frequently in the past and had profound effects on Gross Primary Productivity (GPP). However, role of different drought event characteristics response GPP to is not well understood. To address this issue, we investigated spatiotemporal patterns Chinese terrestrial ecosystem time scales meteorological droughts, explored difference under various characteristics. Our research revealed that: Different droughts significantly impacted 17.3%–25.6% area China. Among...

The forest stock volume (FSV) is one of the key indicators in forestry resource assessments on local, regional, and national scales. To date, scaling up situ plot-scale measurements across landscapes still a great challenge estimation FSVs. In this study, Sentinel-2 imagery, Google Earth Engine (GEE) cloud computing platform, three base station joint differential positioning technology (TBSJDPT), algorithms were used to build an FSV model for forests located Hunan Province, southern China....

Double cropping is an important system in China, with more than half of China’s cropland adopting the practice. Under background global climate change, agricultural policies, and changing farming practices, double-cropping area has changed substantially. However, spatial-temporal dynamics double poorly understood. A better understanding these necessary for northern limit (NLDC) to ensure food security China world achieve zero hunger, second Sustainable Development Goal (SDG). Here, we...

As a common natural disaster, drought can significantly affect the agriculture productivity and human life. Compared to Southeast China, Northwest China is short of water year-round most frequent disaster area in China. Currently, there are still many controversial issues monitoring recent decades. To further understand causes changes we chose Shaanxi, Gansu, Ningxia provinces (SGN) as our study area. We compared spatiotemporal characteristics intensity frequency from 2003 2020 showed by...

Drought events occur frequently, but the impact of drought on plant autumn phenology, i.e., End growing Season (EOS), has not been thoroughly studied. Considering that cumulative and lagged effects plants. In this study, we quantified two EOS in China. Our results indicated affected 39.5% 70.1% plants China over past decades. Two short timescales (2- to 4-accumulated month 1- 5-lagged month) largely first months advanced EOS, while fifth before caused overcompensate for growth delayed...

The accessibility of hospital facilities is great importance not only for maintaining social stability, but also protecting the basic human right to health care. Traditional research often lacks consideration dynamic changes in transport costs and does reflect actual travel time urban residents, which critical time-sensitive services. To avoid these defects, this study considered city Kaifeng, China, as an empirical case, directly acquired data two modes different periods through web mapping...

Forest ecosystems in an ecotone and their dynamics to climate change are growing ecological environmental concerns. Phenology is one of the most critical biological indicators impacts on forest dynamics. In this study, we estimated visualized spatiotemporal patterns phenology from 2001 2017 Qinling Mountains (QMs) based enhanced vegetation index (EVI) MODerate-resolution Imaging Spectroradiometer (MODIS). We further analyzed data reveal topography start season (SOS), end (EOS), length (LOS)....

The spatio-temporal change of the surface water is very important to agricultural, economic, and social development in Hetao Plain, as well structure function ecosystem. To understand long-term changes area we used all available Landsat images (7534 scenes) adopted modified Normalized Difference Water Index (mNDWI), Enhanced Vegetation (EVI), (NDVI) map open-surface from 1989 2019 Google Earth Engine (GEE) cloud platform. We further analyzed precipitation, temperature, irrigated area,...

Hyperspectral images (HSIs) with rich spectral information have been widely used in many fields. Anomaly detection is one of the most interesting and important applications. In this article, a novel Gaussian mixture model (GMM)-based anomaly (GMMD) method for HSI proposed. The main contributions article are new GMM-based extraction approach extracting pixels an effective weighting fusing extracted results. Specifically, based on fact that values some bands different from those background...

Abstract The Standardized Precipitation Evapotranspiration Index (SPEI) is a widely recognized and effective tool for monitoring meteorological droughts. However, existing SPEI datasets suffer from spatial discontinuity or coarse resolution problems, which limits their applications at the local level drought research. Therefore, we calculated index stations, combined with Global Measurement (GPM) (Pre), Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature (LST),...

Temperatures over the past three decades have exhibited an asymmetric warming pattern between night and day throughout Tibetan Plateau. However, implications of such diurnally heterogeneous on vegetation growth is still poorly understood. In this paper, we evaluate how has responded to daytime night-time at regional, biome, pixel scales based normalized difference index (NDVI) meteorological data from 1982 2015. We found a persistent increase in growing seasonal minimum temperature (Tmin)...

Deep learning, especially convolutional neural networks (CNNs), has shown very promising results for multispectral (MS) and hyperspectral (HS) image fusion (MS/HS fusion) task. Most of the existing CNN methods are based on "black-box" models that not specifically designed MS/HS fusion, which largely ignore priors evidently possessed by observed HS MS images, lack clear interpretability, leaving room further improvement. In this paper, we propose an interpretable network, named as...

Evergreen forests are sensitive to climate change and their role in the exchange of carbon, water, energy terrestrial ecosystems is irreplaceable. The temporal spatial variation evergreen forest closely related monitoring management China, which has a far-reaching impact on protection sustainable development. However, lack annual fine resolution maps limits our exploration evolution spatiotemporal patterns forests. Therefore, it necessary timely accurately with high resolution. We used new...

ABSTRACT Supported by mobile phone-signaling data, this paper integrates spatial analysis technology and social network methods, breaks the restrictions of Xi'an's administrative boundaries, builds a “city-region subgroup” framework for job–housing relationship, accurately depicts characteristics job- housing space in Xi'an, explores commuting relationship between different spaces. The results show that Xi'an presents distribution “one city with multiple centers” connection “horizontally...