Earth Observation and Remote Sensing Applications: EORSA 2014

A GRSL special stream – 2014

Agricultural landscapes…

Remote sensing is one of the most efficient means to capture spatial variabilities of land surface characteristics …

The IEEE Geoscience and Remote Sensing Letters (IEEE GRSL) opened a call for submission of research papers, through a Special Stream devoted to works primary related to the EORSA 2014 conference. Among ?? submissions, ?? papers were accepted for publication. A closing paper provides a synthesis of the results with regards to the state of the art. Table 1 summarizes the content of the papers in relation to various issues, including the scientific question to be addressed. Table 2 finally provides a listing of the papers, including for each paper the authors, the title and the DOI based web link. The closing paper is in open access.

TABLE 2: LISTING OF THE ACCEPTED PAPERS.

1	L. Geng, M. Ma, W. Yu, X. Wang, and S. Jia, “Validation of the MODIS NDVI Products in Different Land-Use Types Using In Situ Measurements in the Heihe River Basin,” IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 9, September 2014, pp. 1649-1653.
2	G. Zhou, B. Wang, and J. Zhou, “Automatic Registration of Tree Point Clouds From Terrestrial LiDAR Scanning for Reconstructing the Ground Scene of Vegetated Surfaces,” IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 9, September 2014, pp. 1654-1658.
3	X. Han, R. Jin, X. Li, and S. Wang, “Soil Moisture Estimation Using Cosmic-Ray Soil Moisture Sensing at Heterogeneous Farmland.” IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 9, September 2014, pp. 1659-1663.
4	R. Jin, X. Li, B. Yan, X. Li, W. Luo, M. Ma, J. Guo, J. Kang, Z. Zhu, and S. Zhao, “A Nested Ecohydrological Wireless Sensor Network for Capturing the Surface Heterogeneity in the Midstream Areas of the Heihe River Basin, China,” IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 9, November 2014, pp. 2015-2019.
5	L. Wang, S. Wang, and Y. Ran, “Data Sharing and Data Set Application of Watershed Allied Telemetry Experimental Research,” IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 9, November 2014, pp. 2020-2024.
6	Y. Cui, L. Jia, G. Hu, and J. Zhou, “Mapping of Interception Loss of Vegetation in the Heihe River Basin of China Using Remote Sensing Observations,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 1, January 2015, pp. 23-27.
7	Y. Zhang, G. Yan, and Y. Bai, “Sensitivity of Topographic Correction to the DEM Spatial Scale,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 1, January 2015, pp. 53-57.
8	T. Xu, S. M. Bateni, and S. Liang, “Estimating Turbulent Heat Fluxes With a Weak-Constraint Data Assimilation Scheme: A Case Study (HiWATER-MUSOEXE),” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 1, January 2015, pp. 68-72.
9	J. Kang, R. Jin, and X. Li, “Regression Kriging-Based Upscaling of Soil Moisture Measurements From a Wireless Sensor Network and Multiresource Remote Sensing Information Over Heterogeneous Cropland,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 1, January 2015, pp. 92-96.
10	J. Zeng, Z. Li, Q. Chen, and H. Bi, “Method for Soil Moisture and Surface Temperature Estimation in the Tibetan Plateau Using Spaceborne Radiometer Observations” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 1, January 2015, pp. 97-101.
11	B. Cao, Q. Liu, Y. Du, H. Li, H. Wang, and Q. Xiao, “Modeling Directional Brightness Temperature Over Mixed Scenes of Continuous Crop and Road: A Case Study of the Heihe River Basin,’ IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 2, February 2015, pp. 234-238.
12	J. Wang, J. Zhuang, W. Wang, S. Liu, and Z. Xu, “Assessment of Uncertainties in Eddy Covariance Flux Measurement Based on Intensive Flux Matrix of HiWATER-MUSOEXE,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 2, February 2015, pp. 259-263.
13	H. Wang, Q. Xiao, H. Li, Y. Du, and Q. Liu, “Investigating the Impact of Soil Moisture on Thermal Infrared Emissivity Using ASTER Data,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 2, February 2015, pp. 294-298.
14	L. Song, S. Liu, X. Zhang, J. Zhou, and M. Li, “Estimating and Validating Soil Evaporation and Crop Transpiration During the HiWATER-MUSOEXE,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 2, February 2015, pp. 334-338.
15	G. Yin, J. Li, Q. Liu, L. Li, Y. Zeng, B. Xu, L. Yang, and J. Zhao, “Improving Leaf Area Index Retrieval Over Heterogeneous Surface by Integrating Textural and Contextual Information: A Case Study in the Heihe River Basin,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 2, February 2015, pp. 359-363.
16	C. Qiao, R. Sun, Z. Xu, L. Zhang, L. Liu, L. Hao, and G. Jiang, “A Study of Shelterbelt Transpiration and Cropland Evapotranspiration in an Irrigated Area in the Middle Reaches of the Heihe River in Northwestern China,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 2, February 2015, pp. 369-373.
17	Z. Zhu, L. Tan, S. Gao, and Q. Jiao, “Observation on Soil Moisture of Irrigation Cropland by Cosmic-Ray Probe,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 3, March 2015, pp. 472-476.
18	Wenping Yu and Mingguo Ma, “Scale Mismatch Between In Situ and Remote Sensing Observations of Land Surface Temperature: Implications for the Validation of Remote Sensing LST Products,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 3, March 2015, pp. 497-501.
19	B. Wu, Q. Xing, N. Yan, W. Zhu, and Q. Zhuang, “A Linear Relationship Between Temporal Multiband MODIS BRDF and Aerodynamic Roughness in HiWATER Wind Gradient Data,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 3, March 2015, pp. 507-511.
20	Y. Ge, Y. Liang, J. Wang, Q. Zhao, and S. Liu, “Upscaling Sensible Heat Fluxes With Area-to-Area Regression Kriging,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 3, March 2015, pp. 656-660.
21	Y. Ma, S. Liu, F. Zhang, J. Zhou, Z. Jia, and L. Song, “Estimations of Regional Surface Energy Fluxes Over Heterogeneous Oasis-Desert Surfaces in the Middle Reaches of the Heihe River During HiWATER-MUSOEXE,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 3, March 2015, pp. 671-675.
22	L. Wang, W. Fan, X. Xu, and Y. Liu, “Scaling Transform Method for Remotely Sensed FAPAR Based on FAPAR-P Model,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 4, April 2015, pp. 706-710.
23	J. Guo and F. Liu, “Automatic Data Quality Control of Observations in Wireless Sensor Network,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 4, April 2015, pp. 716-720.
24	J. Bai, L. Jia, S. Liu, Z. Xu, G. Hu, M. Zhu, and L. Song, “Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 5, May 2105, pp. 943-947.
25	Z. Li, L. Jia, G. Hu, J. Lu, J. Zhang, Q. Chen, and K. Wang, “Estimation of Growing Season Daily ET in the Middle Stream and Downstream Areas of the Heihe River Basin Using HJ-1 Data,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 5, May 2105, pp. 948-952.
26	T. Zhang, L. Jiang, L. Chai, T. Zhao, and Q. Wang, “Estimating Mixed-Pixel Component Soil Moisture Contents Using Biangular Observations From the HiWATER Airborne Passive Microwave Data,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 5, May 2105, pp. 1146-1150.
27	D. Li, R. Jin, J. Zhou, and J. Kang, “Analysis and Reduction of the Uncertainties in Soil Moisture Estimation With the L-MEB Model Using EFAST and Ensemble Retrieval,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 6, June 2105, pp. 1337-1341.
Closing paper

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