Haoteng Zhao
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View article: Correction: Zhao et al. Validating Data Interpolation Empirical Orthogonal Functions (DINEOF+) Interpolated Soil Moisture Data in the Contiguous United States. Agriculture 2025, 15, 1212
Correction: Zhao et al. Validating Data Interpolation Empirical Orthogonal Functions (DINEOF+) Interpolated Soil Moisture Data in the Contiguous United States. Agriculture 2025, 15, 1212 Open
In the original publication [...]
View article: Applications of Remote Sensing in Agricultural Soil and Crop Mapping
Applications of Remote Sensing in Agricultural Soil and Crop Mapping Open
Agricultural soils and crops form the foundation of global food systems, and their sustainable management is essential for ensuring food security, mitigating climate change, and adapting to environmental pressures [...]
View article: Hydro-Topographic Contribution to In-Field Crop Yield Variation Using High-Resolution Surface and GPR-Derived Subsurface DEMs
Hydro-Topographic Contribution to In-Field Crop Yield Variation Using High-Resolution Surface and GPR-Derived Subsurface DEMs Open
Understanding spatial variability in crop yields across fields is critical for developing precision agricultural strategies that optimize productivity while reducing negative environmental impacts. This variability often arises from a comp…
View article: Validating Data Interpolation Empirical Orthogonal Functions (DINEOF+) Interpolated Soil Moisture Data in the Contiguous United States
Validating Data Interpolation Empirical Orthogonal Functions (DINEOF+) Interpolated Soil Moisture Data in the Contiguous United States Open
Accurate and spatially detailed soil moisture (SM) data are essential for hydrological research, precision agriculture, and ecosystem monitoring. The NASA’s Soil Moisture Active Passive (SMAP) product offers unprecedented information on gl…
View article: Improving crop condition monitoring using phenologically aligned vegetation index anomalies – A case study in central Iowa
Improving crop condition monitoring using phenologically aligned vegetation index anomalies – A case study in central Iowa Open
Timely monitoring of crop conditions is essential for optimizing and assessing agricultural management. Vegetation indices (VIs) derived from remote sensing data can be useful for assessing crop conditions on a large spatial scale. Traditi…
View article: Corrections to “In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery”
Corrections to “In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery” Open
This addresses errors in (1).
View article: Regionalization Analysis of Environmental Drivers of CONUS Grazing Land Biomass
Regionalization Analysis of Environmental Drivers of CONUS Grazing Land Biomass Open
Grazing lands are essential ecosystems that contribute significantly to global food production and ecological balance. Effectively managing these lands requires precise biomass assessment, which is challenging due to diverse environmental …
View article: In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery
In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery Open
Sugarcane is a significant crop in terms of annual biomass in the world. Timely and accurate mapping of sugarcane planting is important for food security and sustainability. However, accurately remote-sensing-based mapping sugarcane remain…
View article: Modeling urban redevelopment: A novel approach using time-series remote sensing data and machine learning
Modeling urban redevelopment: A novel approach using time-series remote sensing data and machine learning Open
Accurate mapping and timely monitoring of urban redevelopment are pivotal for urban studies and decision-makers to foster sustainable urban development. Traditional mapping methods heavily depend on field surveys and subjective questionnai…
View article: In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery
In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery Open
View article: Improving Crop Condition Monitoring Using a Phenologically Corrected Vegetation Index – a Case Study in Central Iowa
Improving Crop Condition Monitoring Using a Phenologically Corrected Vegetation Index – a Case Study in Central Iowa Open
View article: An Automated Data-Driven Irrigation Scheduling Approach Using Model Simulated Soil Moisture and Evapotranspiration
An Automated Data-Driven Irrigation Scheduling Approach Using Model Simulated Soil Moisture and Evapotranspiration Open
Given the increasing prevalence of droughts, unpredictable rainfall patterns, and limited access to dependable water sources in the United States and worldwide, it has become crucial to implement effective irrigation scheduling strategies.…
View article: Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland
Crop-CASMA: A web geoprocessing and map service based architecture and implementation for serving soil moisture and crop vegetation condition data over U.S. Cropland Open
View article: WaterSmart-GIS: A Web Application of a Data Assimilation Model to Support Irrigation Research and Decision Making
WaterSmart-GIS: A Web Application of a Data Assimilation Model to Support Irrigation Research and Decision Making Open
Irrigation is the primary consumer of freshwater by humans and accounts for over 70% of all annual water use. However, due to the shortage of open critical information in agriculture such as soil, precipitation, and crop status, farmers he…
View article: Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer Open
A timely and detailed crop-specific land cover map can support many agricultural applications and decision makings. However, in-season crop mapping over a large area is still challenging due to the insufficiency of ground truth in the earl…
View article: Developing a Semantic Irrigation Ontology to Support WaterSmart System: A Demonstration of Reducing Water and Energy Consumption in Nebraska
Developing a Semantic Irrigation Ontology to Support WaterSmart System: A Demonstration of Reducing Water and Energy Consumption in Nebraska Open
Earth and Space Science Open Archive This is a preprint and has not been peer reviewed. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are…
View article: Developing a Semantic Irrigation Ontology to Support WaterSmart System: A Demonstration of Reducing Water and Energy Consumption in Nebraska
Developing a Semantic Irrigation Ontology to Support WaterSmart System: A Demonstration of Reducing Water and Energy Consumption in Nebraska Open
Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]Developing a Semantic Irrigation Ontology to Support WaterSmart System: A Demonstration of Reducing Water and Energy Consumption in Neb…
View article: Web Geoprocessing Services for Disseminating and Analyzing SMAP Derived Soil Moisture Data Products
Web Geoprocessing Services for Disseminating and Analyzing SMAP Derived Soil Moisture Data Products Open
Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]Web Geoprocessing Services for Disseminating and Analyzing SMAP Derived Soil Moisture Data ProductsAuthorsChenZhangiDZhengweiYangLiping…
View article: Monitoring Quarry Area with Landsat Long Time-Series for Socioeconomic Study
Monitoring Quarry Area with Landsat Long Time-Series for Socioeconomic Study Open
Quarry sites result from human activity, which includes the removal of original vegetation and the overlying soil to dig out stones for building use. Therefore, the dynamics of the quarry area provide a unique view of human mining activiti…