Bingfang Wu
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View article: Aligning natural climate solutions with mitigation policies for low-cost carbon neutrality: insights from the Qinghai–Tibet Plateau
Aligning natural climate solutions with mitigation policies for low-cost carbon neutrality: insights from the Qinghai–Tibet Plateau Open
To limit global warming to below 1.5 °C–2 °C, more than 140 countries have pledged carbon neutrality. However, many less-developed countries and regions face economic constraints and often suffer from severe ecosystem degradation, which jo…
View article: Numerical Investigation of Combustion and Nitric Oxide Formation in a 130 t/h Pulverized-Coal Boiler Under Lignite–Bituminous Coal Blending
Numerical Investigation of Combustion and Nitric Oxide Formation in a 130 t/h Pulverized-Coal Boiler Under Lignite–Bituminous Coal Blending Open
Coal blending has become a common practice in large-scale boilers due to fluctuations in fuel supply, and it has an important impact on combustion and nitric oxide (NO) formation. To clarify these effects, this study numerically investigat…
View article: Accurate tree disc volume estimation using TLS: validation and improvement via point cloud repair
Accurate tree disc volume estimation using TLS: validation and improvement via point cloud repair Open
Introduction Tree trunk volume is a key parameter in forest inventory. Traditional forest surveys typically rely on sample trees and trunk volume equations to estimate tree trunk volume; however, the collection of sample trees is destructi…
View article: Comparative Assessment of Planar Density and Stereoscopic Density for Estimating Grassland Aboveground Fresh Biomass Across Growing Season
Comparative Assessment of Planar Density and Stereoscopic Density for Estimating Grassland Aboveground Fresh Biomass Across Growing Season Open
Grassland aboveground biomass (AGB) serves as a critical indicator of ecosystem productivity and carbon cycling, playing a pivotal role in ecosystem functioning. The advances in hyperspectral and terrestrial Light Detection and Ranging (Li…
View article: Assessing the Individual and Combined Contributions of Stand Age and Tree Height for Regional-Scale Aboveground Biomass Estimation in Fast-Growing Plantations
Assessing the Individual and Combined Contributions of Stand Age and Tree Height for Regional-Scale Aboveground Biomass Estimation in Fast-Growing Plantations Open
Accurate estimation of plantation aboveground biomass (AGB) is critical for quantifying carbon cycles and informing sustainable forest resource management, but enhancing estimation accuracy remains a key challenge. Although tree height and…
View article: Improving parcel level crop classification by integrating a novel red edge maize-cotton mapping index and machine learning: A case study in the Ebinur Lake Basin
Improving parcel level crop classification by integrating a novel red edge maize-cotton mapping index and machine learning: A case study in the Ebinur Lake Basin Open
Accurate crop type classification remains challenged by dependence on ground-based samples and the presence of ‘salt-and-pepper’ noise. This study presented a hierarchical parcel-level classification framework for multi-crop mapping, integ…
View article: Climate Warming-Driven Expansion and Retreat of Alpine Scree in the Third Pole over the Past 45 Years
Climate Warming-Driven Expansion and Retreat of Alpine Scree in the Third Pole over the Past 45 Years Open
Alpine scree, a distinctive plateau ecosystem, serves as habitat for numerous rare and endangered species. However, current research does not differentiate it from desert in terms of spatial boundary, hindering biodiversity conservation an…
View article: Olfactory mucosal mesenchymal stem cells delivered by gelatin sponge scaffolds promote functional recovery of spinal cord injury
Olfactory mucosal mesenchymal stem cells delivered by gelatin sponge scaffolds promote functional recovery of spinal cord injury Open
Spinal cord injury (SCI) is a pathological condition that damages the central nervous system. Due to the persistence of neuroinflammation after injury, the prognosis is often poor. Recent studies have found that local transplantation of me…
View article: Extreme surface solar ultraviolet radiation events reduce maize yields in China
Extreme surface solar ultraviolet radiation events reduce maize yields in China Open
Over recent decades, changes in atmospheric ozone and climate have substantially altered surface solar ultraviolet radiation, but the impacts of these changes on crop yields remain unclear. Here we analyze climate data and maize yields fro…
View article: A 10-meter global terrace mapping using sentinel-2 imagery and topographic features with deep learning methods and cloud computing platform support
A 10-meter global terrace mapping using sentinel-2 imagery and topographic features with deep learning methods and cloud computing platform support Open
Terrace agriculture plays a vital role in mountainous regions by preventing soil erosion, optimizing land use, and supporting local ecosystems. However, research on the global distribution of terraces is limited due to the lack of unified …
View article: Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units
Evapotranspiration Disaggregation Using an Integrated Indicating Factor Based on Slope Units Open
This study proposes an evapotranspiration (ET) disaggregation model based on slope units. Different slope units are first delineated based on digital elevation model data with high spatial resolution. Key factors influencing ET variability…
View article: Can Stereoscopic Density Replace Planar Density for Forest Aboveground Biomass Estimation? A Case Study Using Airborne LiDAR and Landsat Data in Daxing’anling, China
Can Stereoscopic Density Replace Planar Density for Forest Aboveground Biomass Estimation? A Case Study Using Airborne LiDAR and Landsat Data in Daxing’anling, China Open
Forest aboveground biomass (AGB) is a key indicator for evaluating carbon sequestration capacity and forest productivity. Accurate regional-scale AGB estimation is crucial for advancing research on global climate change, ecosystem carbon c…
View article: GMIE: a global maximum irrigation extent and central pivot irrigation system dataset derived via irrigation performance during drought stress and deep learning methods
GMIE: a global maximum irrigation extent and central pivot irrigation system dataset derived via irrigation performance during drought stress and deep learning methods Open
Irrigation accounts for the major form of human water consumption and plays a pivotal role in enhancing crop yields and mitigating the effects of drought. Accurate mapping of irrigation distribution is essential for effective water resourc…
View article: Integrating Climate Data and Remote Sensing for Maize and Wheat Yield Modelling in Ethiopia’s Key Agricultural Region
Integrating Climate Data and Remote Sensing for Maize and Wheat Yield Modelling in Ethiopia’s Key Agricultural Region Open
Traditional methods for crop data collection are labor-intensive, inefficient and, more costly compared to remote sensing (RS) techniques. This study aims to identify key climatic variables influencing maize and wheat yields and develop pr…
View article: Improved Soybean Mapping with Spectral Gaussian Mixture Modeling
Improved Soybean Mapping with Spectral Gaussian Mixture Modeling Open
Soybeans are a globally important crop, both commercially and nutritionally. Accurate mapping of soybean cultivation is essential for optimizing production and informing market strategies. However, traditional sample-driven soybean mapping…
View article: Increasing Cropland Area and Its Associated Human-Induced Water Consumption Put Ebinur Lake at Risk of Drying Up
Increasing Cropland Area and Its Associated Human-Induced Water Consumption Put Ebinur Lake at Risk of Drying Up Open
Quantifying the impact of agriculture on tail-end lakes is key to the sustainable development of mountain–oasis–desert ecosystems. This study integrated remote sensing and machine learning to explore the linkages between the cropland in th…
View article: Algorithm parameters for retrieving land surface temperature from the SDGSAT-1 thermal infrared spectrometer
Algorithm parameters for retrieving land surface temperature from the SDGSAT-1 thermal infrared spectrometer Open
Land surface temperature (LST) serves as a crucial indicator of the thermal state and environmental changes on the Earth’s surface, and it can be retrieved effectively from satellite thermal infrared sensors. Although algorithms for retrie…
View article: Global Gridded Crop Production Dataset at 10 km Resolution from 2010 to 2020
Global Gridded Crop Production Dataset at 10 km Resolution from 2010 to 2020 Open
The global gridded crop production dataset at 10 km resolution from 2010 to 2020 (GGCP10) for maize, wheat, rice, and soybean was developed to address limitations of existing datasets characterized by coarse resolution and discontinuous ti…
View article: Mapping desert shrubs in Inner Mongolia using universal medium resolution satellite imagery: development of new spectral indices
Mapping desert shrubs in Inner Mongolia using universal medium resolution satellite imagery: development of new spectral indices Open
Desert shrubs are the dominant vegetation type in arid deserts and serve as crucial elements in sand retention, biodiversity maintenance, and carbon sequestration. However, due to their patchy and scattered distributions and spectral resem…
View article: Multiclass Crop Interpretation via a Lightweight Attentive Feature Fusion Network Using Vehicle-View Images
Multiclass Crop Interpretation via a Lightweight Attentive Feature Fusion Network Using Vehicle-View Images Open
Automatic crop interpretation can provide important reference information for national agricultural decision-making. However, due to the diverse characteristics and complex spatial relationship of crops, remote sensing images taken from a …
View article: Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States
Global de-trending significantly improves the accuracy of XGBoost-based county-level maize and soybean yield prediction in the Midwestern United States Open
The application of machine learning in crop yield prediction has gained considerable traction, yet uncertainties persist regarding the impact of the yield trends on these predictions and the differences between the detrending methods. In o…
View article: Comment on essd-2023-536
Comment on essd-2023-536 Open
Abstract. Irrigation stands as the primary sector of human water consumption and plays a pivotal role in enhancing crop yields and mitigating drought effects. The precise distribution of irrigation is crucial for effective water resource m…
View article: Comment on essd-2023-536
Comment on essd-2023-536 Open
Abstract. Irrigation stands as the primary sector of human water consumption and plays a pivotal role in enhancing crop yields and mitigating drought effects. The precise distribution of irrigation is crucial for effective water resource m…