Remote Sensing, Vol. 16, Pages 1625: Drought Risk Assessment of Winter Wheat at Different Growth Stages in Huang-Huai-Hai Plain Based on Nonstationary Standardized Precipitation Evapotranspiration Index and Crop Coefficient Remote Sensing doi: 10.3390/rs16091625 Authors: Wenhui Chen Rui Yao Peng Sun Qiang Zhang Vijay P. Singh Shao Sun Amir AghaKouchak Chenhao Ge Huilin Yang Soil moisture plays a crucial role in determining the yield of winter wheat. The Huang-Huai-Hai (HHH) Plain is the main growing area of winter wheat in China, and frequent occurrence of drought seriously restricts regional ..read more

Remote Sensing, Vol. 16, Pages 1631: Impact of Urbanization on Cloud Characteristics over Sofia, Bulgaria Remote Sensing doi: 10.3390/rs16091631 Authors: Ventsislav Danchovski Urban artificial surfaces and structures induce modifications in land–atmosphere interactions, affecting the exchange of energy, momentum, and substances. These modifications stimulate urban climate formation by altering the values and dynamics of atmospheric parameters, including cloud-related features. This study evaluates the presence and quantifies the extent of such changes over Sofia, Bulgaria. The fi ..read more

Remote Sensing, Vol. 16, Pages 1626: Domain Feature Decomposition for Efficient Object Detection in Aerial Images Remote Sensing doi: 10.3390/rs16091626 Authors: Ren Jin Zikai Jia Xingyu Yin Yi Niu Yuhua Qi Object detection in UAV aerial images faces domain-adaptive challenges, such as changes in shooting height, viewing angle, and weather. These changes constitute a large number of fine-grained domains that place greater demands on the network’s generalizability. To tackle these challenges, we initially decompose image features into domain-invariant and domain-specific features ..read more

Remote Sensing, Vol. 16, Pages 1624: Mapping Foliar C, N, and P Concentrations in An Ecological Restoration Area with Mixed Plant Communities Based on LiDAR and Hyperspectral Data Remote Sensing doi: 10.3390/rs16091624 Authors: Yongjun Yang Jing Dong Jiajia Tang Jiao Zhao Shaogang Lei Shaoliang Zhang Fu Chen Interactions between carbon (C), nitrogen (N), and phosphorus (P), the vital indicators of ecological restoration, play an important role in signaling the health of ecosystems. Rapidly and accurately mapping foliar C, N, and P is essential for interpreting community structure, nutrient lim ..read more

Remote Sensing, Vol. 16, Pages 1628: Estimation of Rice Plant Coverage Using Sentinel-2 Based on UAV-Observed Data Remote Sensing doi: 10.3390/rs16091628 Authors: Yuki Sato Takeshi Tsuji Masayuki Matsuoka Vegetation coverage is a crucial parameter in agriculture, as it offers essential insight into crop growth and health conditions. The spatial resolution of spaceborne sensors is limited, hindering the precise measurement of vegetation coverage. Consequently, fine-resolution ground observation data are indispensable for establishing correlations between remotely sensed reflectance and plant co ..read more

Remote Sensing, Vol. 16, Pages 1629: Spatiotemporal Distribution Characteristics and Influencing Factors of Freeze–Thaw Erosion in the Qinghai–Tibet Plateau Remote Sensing doi: 10.3390/rs16091629 Authors: Zhenzhen Yang Wankui Ni Fujun Niu Lan Li Siyuan Ren Freeze–thaw (FT) erosion intensity may exhibit a future increasing trend with climate warming, humidification, and permafrost degradation in the Qinghai–Tibet Plateau (QTP). The present study provides a reference for the prevention and control of FT erosion in the QTP, as well as for the protec ..read more

Remote Sensing, Vol. 16, Pages 1630: From Point Cloud to BIM: A New Method Based on Efficient Point Cloud Simplification by Geometric Feature Analysis and Building Parametric Objects in Rhinoceros/Grasshopper Software Remote Sensing doi: 10.3390/rs16091630 Authors: Massimiliano Pepe Alfredo Restuccia Garofalo Domenica Costantino Federica Francesca Tana Donato Palumbo Vincenzo Saverio Alfio Enrico Spacone The aim of the paper is to identify an efficient method for transforming the point cloud into parametric objects in the fields of architecture, engineering and construction by four main steps ..read more

Remote Sensing, Vol. 16, Pages 1623: A Systematic Review of the Application of the Geostationary Ocean Color Imager to the Water Quality Monitoring of Inland and Coastal Waters Remote Sensing doi: 10.3390/rs16091623 Authors: Shidi Shao Yu Wang Ge Liu Kaishan Song In recent decades, eutrophication in inland and coastal waters (ICWs) has increased due to anthropogenic activities and global warming, thus requiring timely monitoring. Compared with traditional sampling and laboratory analysis methods, satellite remote sensing technology can provide macro-scale, low-cost, and near real-time water qu ..read more

Remote Sensing, Vol. 16, Pages 1617: Analysis of Multipath Changes in the Polish Permanent GNSS Stations Network Remote Sensing doi: 10.3390/rs16091617 Authors: Jacek Rapiński Dariusz Tomaszewski Renata Pelc-Mieczkowska This study examines the influence of multipath errors on Global Navigation Satellite System (GNSS) measurements collected at ASG-EUPOS reference stations between 2010 and 2021. Multipath occurs when GNSS signals reflect off surrounding objects before reaching the receiver antenna, leading to positioning errors. In the case of reference stations, all available mitigation techniq ..read more

Remote Sensing, Vol. 16, Pages 1618: Estimating Landfill Landslide Probability Using SAR Satellite Products: A Novel Approach Remote Sensing doi: 10.3390/rs16091618 Authors: Adrián García-Gutiérrez Jesús Gonzalo Carlos Rubio Maria Michela Corvino This article presents a methodology for evaluating the susceptibility of landfill areas to develop landslides by analyzing Synthetic Aperture Radar (SAR) satellite products. The deformation velocity of the landfills is computed through the Persistent Scatterer Method on SAR imagery. These data, combined with a deformation model based on the shallow wa ..read more