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Remote Sensing, Volume 12, Issue 1

January-1 2020 - 201 articles

Cover Story: The ability to map burn severity and to understand how it varies as a function of the time of year and return frequency is an important tool for landscape management and carbon accounting in tropical savannas. Different indices based on optical satellite images are typically used for mapping fire scars and for estimating burn severity. However, cloud cover is a major limitation for analyses using optical data. In this article, we demonstrated the potential of C-band synthetic aperture RADAR (SAR) data for burn severity mapping in tropical savanna landscapes. In conjunction with optical satellite data, we used terrestrial laser scanning (TLS) measurements to validate our findings, making this study unique. We found that the SAR data contributed valuable information which was correlated with optical observations and the TLS measurements following fires.View this paper.
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Articles (201)

  • Article
  • Open Access
12 Citations
4,068 Views
17 Pages

Calibration and Impact of BeiDou Satellite-Dependent Timing Group Delay Bias

  • Yize Zhang,
  • Hu Wang,
  • Junping Chen,
  • Ahao Wang,
  • Lingdong Meng and
  • Ershen Wang

5 January 2020

The accuracy of the timing group delay (TGD) transmitted in the broadcast ephemeris is an important factor that affects the service performance of a GNSS system. In this contribution, an apparent bias is found by comparing the orbit and clock differe...

  • Article
  • Open Access
156 Citations
12,620 Views
17 Pages

5 January 2020

The existence of clouds is one of the main factors that contributes to missing information in optical remote sensing images, restricting their further applications for Earth observation, so how to reconstruct the missing information caused by clouds...

  • Article
  • Open Access
7 Citations
3,913 Views
21 Pages

5 January 2020

Using thermal infrared (TIR) data from multiple instruments and platforms for analysis of an entire active volcanic system is becoming more common with the increasing availability of new data. However, the accuracy and uncertainty associated with the...

  • Article
  • Open Access
25 Citations
6,858 Views
23 Pages

5 January 2020

A well-designed rain gauge network can provide precise and detailed rainfall data for earth science research; meanwhile, satellite precipitation data has been developed to generate more real spatial features, which provides new data support for the i...

  • Article
  • Open Access
19 Citations
8,115 Views
19 Pages

Monitoring River Basin Development and Variation in Water Resources in Transboundary Imjin River in North and South Korea Using Remote Sensing

  • Donghwan Kim,
  • Hyongki Lee,
  • Hahn Chul Jung,
  • Euiho Hwang,
  • Faisal Hossain,
  • Matthew Bonnema,
  • Do-Hyuk Kang and
  • Augusto Getirana

5 January 2020

This paper presents methods of monitoring river basin development and water variability for the transboundary river in North and South Korea. River basin development, such as dams and water infrastructure in transboundary rivers, can be a potential f...

  • Technical Note
  • Open Access
50 Citations
8,031 Views
11 Pages

First Comparisons of Surface Temperature Estimations between ECOSTRESS, ASTER and Landsat 8 over Italian Volcanic and Geothermal Areas

  • Malvina Silvestri,
  • Vito Romaniello,
  • Simon Hook,
  • Massimo Musacchio,
  • Sergio Teggi and
  • Maria Fabrizia Buongiorno

4 January 2020

The ECO System Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) is a new space mission developed by NASA-JPL which launched on July 2018. It includes a multispectral thermal infrared radiometer that measures the radiances in five...

  • Article
  • Open Access
5 Citations
4,232 Views
17 Pages

4 January 2020

Spectra of reflectance (Sr) and fluorescence (Sf) are significant for crop monitoring and ecological environment research, and can be used to indicate the leaf nitrogen content (LNC) of crops indirectly. The aim of this work is to use the Sr-Sf featu...

  • Article
  • Open Access
72 Citations
8,712 Views
23 Pages

Estimating Forest Stock Volume in Hunan Province, China, by Integrating In Situ Plot Data, Sentinel-2 Images, and Linear and Machine Learning Regression Models

  • Yang Hu,
  • Xuelei Xu,
  • Fayun Wu,
  • Zhongqiu Sun,
  • Haoming Xia,
  • Qingmin Meng,
  • Wenli Huang,
  • Hua Zhou,
  • Jinping Gao and
  • Weitao Li
  • + 2 authors

4 January 2020

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 in situ plot-scale measurements across landscapes is still a great challenge in the estimation of...

  • Article
  • Open Access
88 Citations
7,295 Views
15 Pages

A New Set of MODIS Land Products (MCD18): Downward Shortwave Radiation and Photosynthetically Active Radiation

  • Dongdong Wang,
  • Shunlin Liang,
  • Yi Zhang,
  • Xueyuan Gao,
  • Meredith G. L. Brown and
  • Aolin Jia

3 January 2020

Surface downward shortwave radiation (DSR) and photosynthetically active radiation (PAR), its visible component, are key parameters needed for many land process models and terrestrial applications. Most existing DSR and PAR products were developed fo...

  • Feature Paper
  • Letter
  • Open Access
21 Citations
6,472 Views
13 Pages

3 January 2020

This study examines whether the Visible Infrared Imaging Radiometer Suite (VIIRS) nighttime lights can be used to predict population migration in small areas in European Union (EU) countries. The analysis uses the most current data measured at the sm...

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Remote Sens. - ISSN 2072-4292