Filters








4,922 Hits in 6.7 sec

Modeling Snow Surface Spectral Reflectance in a Land Surface Model Targeting Satellite Remote Sensing Observations

Donghang Shao, Wenbo Xu, Hongyi Li, Jian Wang, Xiaohua Hao
2020 Remote Sensing  
This new integrated model is a significant improvement over traditional land surface models for the direct spectral observations of satellite remote sensing.  ...  Here, we suggest a new integrated scheme that couples a radiative transfer model with a land surface model to simulate high spectral resolution snow surface reflectance information specifically targeting  ...  of high spectral resolution snow albedo simulation schemes targeting satellite remote sensing observations based on land surface models.  ... 
doi:10.3390/rs12183101 fatcat:2oopeq4yabbvliy6nr26iaovka

REMOTE SENSING APPLICATIONS TO WATER RESOURCES [chapter]

D. NAGESH KUMAR
2002 Research Perspectives in Hydraulics and Water Resources Engineering  
| With the introduction of the earth observing satellites, remote sensing has become an important tool in analyzing the Earth's surface characteristics, and hence in supplying valuable information necessary  ...  This paper gives a brief overview of the potential applications of remote sensing in water resources.  ...  Authors also acknowledge NASA, ESA and other organizations for the public domain images used in this paper. Received 20 March 2013.  ... 
doi:10.1142/9789812777614_0008 fatcat:w52kw3wgbzfljpfv6jkfzpmnee

Developments in Remote Sensing Techniques for Hydrological Studies

R. P. Singh, P. K. Gupta
2016 Proceedings of the Indian National Science Academy  
Variability of various hydro-meteorological parameters and recent satellite based observation on flood and hydrological drought condition in selected regions over India isdiscussed.  ...  Satellites provide an important role in measurements of various dimensions of water cycle components in spatio-temporal domain.  ...  Mehul R Pandya, Shri V M Ramanujam, Shri C Patnaik and scientists of Land Hydrology Division for their inputs and constructive discussions.  ... 
doi:10.16943/ptinsa/2016/48484 fatcat:tve6prmtarglzhuco7b2vdwv2a

Remote sensing in hydrology

Thomas J. Schmugge, William P. Kustas, Jerry C. Ritchie, Thomas J. Jackson, Al Rango
2002 Advances in Water Resources  
Remote sensing provides a means of observing hydrological state variables over large areas.  ...  The ones which we will consider in this paper are land surface temperature from thermal infrared data, surface soil moisture from passive microwave data, snow cover using both visible and microwave data  ...  One of the few models that was developed requiring direct remote sensing input is the snowmelt runoff model (SRM) [64] . SRM requires remote sensing measurements of the snow covered area in a basin.  ... 
doi:10.1016/s0309-1708(02)00065-9 fatcat:7trxsuclcneqzp3vukhi3unvda

Estimation of Snow Physical Parameters Using EO-1 Hyperion

Manjeet Singh
2012 IOSR Journal of Applied Physics  
The spectral reflectance of different types of snow grain size, vegetation-mixed snow and boulder-mixed snow has been collected in field, using optical spectro-radiometer and compared with satellite derived  ...  (MODTRAN4) radiative transfer code as well as topographic correction to retrieve surface reflectance.  ...  Zong-Liang Yang, Director, Center for Integrated Earth System Science, University of Texas at Austin for his kind motivation in the field of Land Surface Modeling.  ... 
doi:10.9790/4861-0160813 fatcat:zac45pnyhjcohk4lpqri72besi

Dust Storm Remote Sensing Monitoring Supported by MODIS Land Surface Reflectance Database

Ke Sun, Qinghua Su, Yanfang Ming
2019 Remote Sensing  
Using the LSR (Land Surface Reflectance) dataset, dust storm remote sensing monitoring in this study was carried out via quality control and data synthesis.  ...  The apparent reflectance of clear-pixels with different atmospheric conditions was simulated by the radiative transfer model.  ...  However, the reflectance of real remote sensing images is much more complex than the spectral features shown in Figure 1 .  ... 
doi:10.3390/rs11151772 fatcat:so4o5k2hszan7klyumc7zwdktm

A MULTI-TEMPORAL APPROACH FOR DETECTING SNOW COVER AREA USING GEOSTATIONARY IMAGERY DATA

Hwa-Seon Lee, Kyu-Sung Lee
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this study, we attempt to detect snow cover area using multi-temporal geostationary satellite imagery based on the difference of spectral and temporal characteristics between snow and clouds.  ...  We initially applied a simple threshold of blue reflectance and then root mean square deviation (RMSD) threshold of near infrared (NIR) reflectance that were calculated from time-series GOCI data.  ...  ACKNOWLEDGEMENTS This research was a part of the project titled 'Research for Applications of Geostationary Ocean Color Imager', funded by the Ministry of Oceans and Fisheries, Korea.  ... 
doi:10.5194/isprs-archives-xli-b8-511-2016 fatcat:o3gx4z23b5cq3giz5a2icsx664

A MULTI-TEMPORAL APPROACH FOR DETECTING SNOW COVER AREA USING GEOSTATIONARY IMAGERY DATA

Hwa-Seon Lee, Kyu-Sung Lee
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this study, we attempt to detect snow cover area using multi-temporal geostationary satellite imagery based on the difference of spectral and temporal characteristics between snow and clouds.  ...  We initially applied a simple threshold of blue reflectance and then root mean square deviation (RMSD) threshold of near infrared (NIR) reflectance that were calculated from time-series GOCI data.  ...  ACKNOWLEDGEMENTS This research was a part of the project titled 'Research for Applications of Geostationary Ocean Color Imager', funded by the Ministry of Oceans and Fisheries, Korea.  ... 
doi:10.5194/isprsarchives-xli-b8-511-2016 fatcat:g6lly4grvjf2zaq4z6puvin54u

Laboratory, field, mast-borne and airborne spectral reflectance measurements of boreal landscape during spring

Henna-Reetta Hannula, Kirsikka Heinilä, Kristin Böttcher, Olli-Pekka Mattila, Miia Salminen, Jouni Pulliainen
2020 Earth System Science Data  
The openly accessible spectral reflectance data at multiple scales are suitable to climate and hydrological research and remote sensing model validation and development.  ...  For all measurement geometries, observations are given in surface reflectance quantity corresponding to the typical representation of a satellite observation quantity to facilitate their comparison with  ...  This work has been supported by the Väisälä foundation, Envibase (Ministry of Finance, Finland), SPECIM (Spectral Imaging Ltd.), and the Airborne Imaging Spectroscopy Application and Research on Earth  ... 
doi:10.5194/essd-12-719-2020 fatcat:rukcyae2qbdxvdwtkzaza6gpd4

Mapping Surface Broadband Albedo from Satellite Observations: A Review of Literatures on Algorithms and Products

Ying Qu, Shunlin Liang, Qiang Liu, Tao He, Suhong Liu, Xiaowen Li
2015 Remote Sensing  
Moreover, the algorithms for estimating surface broadband albedo from satellite observations, including narrow-to-broadband conversions, bidirectional reflectance distribution function (BRDF) angular modeling  ...  In this paper, we present a comprehensive literature review on algorithms and products for mapping surface broadband albedo with satellite observations and provide a discussion of different algorithms  ...  for typical remote sensing sensors with a spectral reflectance library and the Santa Barbara DISORT Atmospheric Radiative Transfer (SBDART) [48] simulations.  ... 
doi:10.3390/rs70100990 fatcat:getf67mjkjbidj3tiltnd5khlm

Reflectance properties of selected arctic-boreal land cover types: field measurements and their application in remote sensing

J. I. Peltoniemi, J. Suomalainen, E. Puttonen, J. Näränen, M. Rautiainen
2008 Biogeosciences Discussions  
We developed a mobile remote sensing measurement facility for spectral and anisotropic reflectance measurements.  ...  This has significant consequences on the interpretation of satellite and airborne images and on the development of radiation regime models in 15 both optical remote sensing and climate change research.  ...  land FP Thus the applicability of all remote sensing techniques to true nature is still in question.  ... 
doi:10.5194/bgd-5-1069-2008 fatcat:kbkzgnya7zgdpmipngw5o5pcvq

Retrieval of Aerosol optical thickness and size distribution from PARASOL in Pearl River Delta area

Zhe Jiang, Liangfu Chen, Minghui Tao, Lin Su
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
remote sensing over land.  ...  How to retrieve the size distribution by satellite remote sensing data still need further studies.  ... 
doi:10.1109/igarss.2010.5654035 dblp:conf/igarss/JiangCTS10 fatcat:odwolkdbxvc2bf5heigh2q3hhm

MULTISPECTRAL AND HYPERSPECTRAL REMOTE SENSING OF ALPINE SNOW PROPERTIES

Jeff Dozier, Thomas H. Painter
2004 Annual Review of Earth and Planetary Science  
s Abstract Models of processes in the alpine snow cover fundamentally depend on the spatial distribution of the surface energy balance over areas where topographic variability causes huge differences in  ...  Remaining research challenges include the remote sensing of absorbing impurities; accounting for variability in the bidirectional-reflectance distribution function and the variability of grain size with  ...  The surface reflectance of a dim target is smaller than its planetary reflectance, but the surface reflectance of a bright target is larger than its planetary reflectance.  ... 
doi:10.1146/annurev.earth.32.101802.120404 fatcat:ahnoui4kbbddfpahiivu6ujyge

Page 1658 of Hydrological Processes Vol. 14, Issue 9 [page]

2000 Hydrological Processes  
1658 A. PIETRONIRO AND R. LECONTE determined. Certainly, remote sensing will be used in the classical sense for land-cover estimation.  ...  The use of remotely sensed, derived state variables such as precipitation, snow water equivalent or soil moisture in the context of these coupled modelling systems remains to be seen.  ... 

Remote Sensing Satellite Image Processing Techniques for Image Classification: A Comprehensive Survey

Sowmya D., P. Deepa, Venugopal K.
2017 International Journal of Computer Applications  
This paper is a brief survey of advance technological aspects of Digital Image Processing which are applied to remote sensing images obtained from various satellite sensors.  ...  Transformation aims to identify particular feature of earth's surface and classification is a process of grouping the pixels, that produces effective thematic map of particular land use and land cover.  ...  In a broad sense, image classification is defined as the process of categorizing all pixels in an image or raw remotely sensed satellite data to obtain a given set of labels or land cover themes.  ... 
doi:10.5120/ijca2017913306 fatcat:2bzxqgiy2nfkldftt5wgj4v4e4
« Previous Showing results 1 — 15 out of 4,922 results