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Remote Sensing, Volume 14, Issue 21

November-1 2022 - 346 articles

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Cover Story: Polarimetric SAR parameters and backscattering coefficients at different frequencies are important to characterize soil moisture over forest areas. The L-band Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) and C-band RADARSAT-2 were analyzed in terms of soil and vegetation parameters collected during the SMAPVEX12 campaign in Canada. Several optimal polarimetric parameters and linear/circular backscattering coefficients at L-band allow the monitoring of forest soil moisture. However, only a few polarimetric parameters—φHHHV, φVVHV, and φHHVV at C-band—are sensitive to forest soil moisture. View this paper

Articles (346)

  • Article
  • Open Access
3,640 Views
22 Pages

7 November 2022

In this study, Python Surface Energy Balance System (PySEBS) software was developed in the Python 2.7 programming language for continuous calculation of actual evapotranspiration (ETa) at regional scales. The software is based on the Surface Energy B...

  • Article
  • Open Access
34 Citations
6,902 Views
13 Pages

Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library

  • Yin Zhou,
  • Songchao Chen,
  • Bifeng Hu,
  • Wenjun Ji,
  • Shuo Li,
  • Yongsheng Hong,
  • Hanyi Xu,
  • Nan Wang,
  • Jie Xue and
  • Xianglin Zhang
  • + 2 authors

7 November 2022

Soil salinization is one of the major degradation processes threatening food security and sustainable development. Detailed soil salinity information is increasingly needed to tackle this global challenge for improving soil management. Soil-visible a...

  • Article
  • Open Access
5 Citations
2,712 Views
11 Pages

7 November 2022

The yardangs surrounding the Suoyang City ruins are proven to be wind-eroded landforms developed in an oasis which was used for agriculture in history. According to OSL and 14C dating, as well as historical records of local human activities, we sugge...

  • Article
  • Open Access
28 Citations
3,761 Views
22 Pages

7 November 2022

Timely and accurate crop identification and mapping are of great significance for crop yield estimation, disaster warning, and food security. Early-season crop identification places higher demands on the quality and mining of time-series information...

  • Article
  • Open Access
15 Citations
3,583 Views
26 Pages

Spatial Estimation of Regional PM2.5 Concentrations with GWR Models Using PCA and RBF Interpolation Optimization

  • Youbing Tang,
  • Shaofeng Xie,
  • Liangke Huang,
  • Lilong Liu,
  • Pengzhi Wei,
  • Yabo Zhang and
  • Chunyang Meng

7 November 2022

In recent years, geographically weighted regression (GWR) models have been widely used to address the spatial heterogeneity and spatial autocorrelation of PM2.5, but these studies have not fully considered the effects of all potential variables on PM...

  • Article
  • Open Access
2 Citations
2,499 Views
18 Pages

Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and Biomass with Limited In Situ Data

  • Peilei Luo,
  • Huichun Ye,
  • Wenjiang Huang,
  • Jingjuan Liao,
  • Quanjun Jiao,
  • Anting Guo and
  • Binxiang Qian

7 November 2022

Accurate estimation of the maize leaf area index (LAI) and biomass is of great importance in guiding field management and early yield estimation. Physical models and traditional machine learning methods are commonly used for LAI and biomass estimatio...

  • Article
  • Open Access
16 Citations
2,713 Views
20 Pages

Regional Patterns of Vegetation Dynamics and Their Sensitivity to Climate Variability in the Yangtze River Basin

  • Qin Wang,
  • Qin Ju,
  • Yueyang Wang,
  • Xiaolei Fu,
  • Wenjie Zhao,
  • Yiheng Du,
  • Peng Jiang and
  • Zhenchun Hao

7 November 2022

To better understand the mechanisms of the hydro-ecological cycle in the changing environments of the Yangtze River Basin (YZRB), it is valuable to investigate vegetation dynamics and their response to climate change. This study explored the spatial...

  • Article
  • Open Access
8 Citations
3,345 Views
25 Pages

7 November 2022

Change detection (CD) with heterogeneous images is currently attracting extensive attention in remote sensing. In order to make heterogeneous images comparable, the image transformation methods transform one image into the domain of another image, wh...

  • Article
  • Open Access
3 Citations
2,836 Views
27 Pages

Critical Climate Periods Explain a Large Fraction of the Observed Variability in Vegetation State

  • Anikó Kern,
  • Zoltán Barcza,
  • Roland Hollós,
  • Edina Birinyi and
  • Hrvoje Marjanović

7 November 2022

Previous studies have suggested that a major part of the observed variability in vegetation state might be associated with variability in climatic drivers during relatively short periods within the year. Identification of such critical climate period...

  • Article
  • Open Access
6 Citations
1,670 Views
14 Pages

7 November 2022

Terrestrial laser scanning (TLS) is a modern measurement technique that provides a point cloud in a relatively short time. TLS data are usually processed using different methods in order to obtain the final result (infrastructure or terrain models)....

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