Special Issue Multi Sensor And Multi Temporal Remote Sensing Observations To Characterize Canopy Functioning The Reseda Project
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Author | : Frédéric Baret |
Publisher | : |
Total Pages | : 172 |
Release | : 2002 |
Genre | : |
ISBN | : |
Download Special Issue: Multi-sensor and Multi-temporal Remote Sensing Observations to Characterize Canopy Functioning. The ReSeDA Project Book in PDF, Epub and Kindle
Author | : Frédéric Baret |
Publisher | : |
Total Pages | : 172 |
Release | : 2002 |
Genre | : |
ISBN | : |
Download Multi-sensor and Multi-temporal Remote Sensing Observations to Characterize Canopy Functioning Book in PDF, Epub and Kindle
Author | : |
Publisher | : |
Total Pages | : 260 |
Release | : 2004 |
Genre | : Agricultural ecology |
ISBN | : |
Download Agronomie Book in PDF, Epub and Kindle
Author | : Francesca Bovolo |
Publisher | : |
Total Pages | : 283 |
Release | : 2013 |
Genre | : |
ISBN | : |
Download Special Issue on Analysis of Multitemporal Remote Sensing Data Book in PDF, Epub and Kindle
Author | : Lorenzo Bruzzone |
Publisher | : |
Total Pages | : 250 |
Release | : 2003 |
Genre | : Agriculture |
ISBN | : |
Download Special Issue on Analysis of Multitemporal Remote Sensing Images Book in PDF, Epub and Kindle
Author | : Paul Smits |
Publisher | : Remote Sensing |
Total Pages | : 414 |
Release | : 2004 |
Genre | : Computers |
ISBN | : 9789812389152 |
Download Proceedings of the Second International Workshop on the Analysis of Multi-Temporal Remote Sensing Images Book in PDF, Epub and Kindle
The development of effective methodologies for the analysis of multi-temporal data is one of the most important and challenging issues that the remote sensing community will face in the coming years. Its importance and timeliness are directly related to the ever-increasing quantity of multi-temporal data provided by the numerous remote sensing satellites that orbit our planet. The synergistic use of multi-temporal remote sensing data and advanced analysis methodologies results in the possibility of solving complex problems related to the monitoring of the Earth's surface and atmosphere at different scales. However, the advances in the methodologies for the analysis of multi-temporal data have been significantly under-illuminated with respect to other remote sensing data analysis topics. In addition, the link between the end-users' needs and the scientific community needs to be strengthened.This volume of proceedings contains 43 contributions from researchers representing academia, industry and governmental organizations. It is organized into three thematic sections: Image Analysis and Algorithms; Analysis of Synthetic Aperture Radar Data; Monitoring and Management of Resources.
Author | : Rajagopalan Rengarajan |
Publisher | : |
Total Pages | : 576 |
Release | : 2016 |
Genre | : Forests and forestry |
ISBN | : |
Download Evaluation of Sensor, Environment and Operational Factors Impacting the Use of Multiple Sensor Constellations for Long Term Resource Monitoring Book in PDF, Epub and Kindle
"Moderate resolution remote sensing data offers the potential to monitor the long and short term trends in the condition of the Earth’s resources at finer spatial scales and over longer time periods. While improved calibration (radiometric and geometric), free access (Landsat, Sentinel, CBERS), and higher level products in reflectance units have made it easier for the science community to derive the biophysical parameters from these remotely sensed data, a number of issues still affect the analysis of multi-temporal datasets. These are primarily due to sources that are inherent in the process of imaging from single or multiple sensors. Some of these undesired or uncompensated sources of variation include variation in the view angles, illumination angles, atmospheric effects, and sensor effects such as Relative Spectral Response (RSR) variation between different sensors. The complex interaction of these sources of variation would make their study extremely difficult if not impossible with real data, and therefore, a simulated analysis approach is used in this study. A synthetic forest canopy is produced using the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model and its measured BRDFs are modeled using the RossLi canopy BRDF model. The simulated BRDF matches the real data to within 2% of the reflectance in the red and the NIR spectral bands studied. The BRDF modeling process is extended to model and characterize the defoliation of a forest, which is used in factor sensitivity studies to estimate the effect of each factor for varying environment and sensor conditions. Finally, a factorial experiment is designed to understand the significance of the sources of variation, and regression based analysis are performed to understand the relative importance of the factors. The design of experiment and the sensitivity analysis conclude that the atmospheric attenuation and variations due to the illumination angles are the dominant sources impacting the at-sensor radiance."--Abstract.
Author | : R. Houborg |
Publisher | : |
Total Pages | : |
Release | : 2015 |
Genre | : |
ISBN | : |
Download Special Issue on Advances in Remote Sensing of Vegetation Function and Traits Book in PDF, Epub and Kindle
Author | : Devis Tuia |
Publisher | : |
Total Pages | : |
Release | : 2016 |
Genre | : |
ISBN | : |
Download Special Issue on Urban Remote Sensing Book in PDF, Epub and Kindle
Author | : C. M. Trotter |
Publisher | : |
Total Pages | : 44 |
Release | : 1999-01-01 |
Genre | : Defoliation |
ISBN | : 9780478217476 |
Download Monitoring Forest Canopy Condition by Remote Sensing Book in PDF, Epub and Kindle