The proposed DESDynI mission - From science to implementation

Rosen, P. A.; Eisen, Howard J.; Shen, Yuecheng; Hensley, Scott; Shaffer, S.; Veilleux, Louise; Ranson, K.J.; Dress, Andre; Blair, J. B.; Luthcke, S. B.; Dubayah, Ralph; Hager, Bradford H.; Joughin, Ian

doi:10.1109/radar.2011.5960710

Cited by 13 publications

(18 citation statements)

References 4 publications

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“…The major benefit of multi-temporal observations is the decrease of the retrieval error in stem volume/above-ground biomass ranges to which the sensitivity of the SAR backscatter is weak. While this approach is recommended for current spaceborne missions providing primarily data on SAR backscatter, it is likely that it will represent a simple complement in future missions specifically targeting the retrieval of forest variables (BIOMASS [50], NISAR [51], SAOCOM-CS [52]). These will prefer acquisition strategies providing observables more closely related to forest structural parameters (e.g., SAR interferometry, SAR polarimetric interferometry and SAR tomography) while the SAR backscatter will be useful for additional information, such as forest detection and forest cover change mapping.…”

Section: Discussionmentioning

confidence: 99%

Reviewing ALOS PALSAR Backscatter Observations for Stem Volume Retrieval in Swedish Forest

2015

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Between 2006 and 2011, the Advanced Land Observing Satellite (ALOS) Phased Array L-type Synthetic Aperture Radar (PALSAR) instrument acquired multi-temporal datasets under several environmental conditions and multiple configurations of look angle and polarization. The extensive archive of SAR backscatter observations over the forest test sites of Krycklan (boreal) and Remningstorp (hemi-boreal), Sweden, was used to assess the retrieval of stem volume at stand level. The retrieval was based on the inversion of a simple Water Cloud Model with gaps; single estimates of stem volume are then combined to obtain the final multi-temporal estimate. The model matched the relationship between the SAR backscatter and the stem volume under all configurations. The retrieval relative Root Mean Square Error (RMSE) differed depending upon environmental conditions, polarization and look angle. Stem volume was best retrieved in Krycklan using only HV-polarized data acquired under unfrozen conditions with a look angle of 34.3° (relative RMSE: 44.0%). In Remningstorp, the smallest error was obtained using only HH-polarized data acquired under predominantly frozen conditions with a look angle of 34.3° (relative RMSE: 35.1%). The relative RMSE was below 30% for stands >20 ha, suggesting high accuracy of ALOS PALSAR estimates of stem volumes aggregated at moderate resolution.

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Section: Discussionmentioning

confidence: 99%

Reviewing ALOS PALSAR Backscatter Observations for Stem Volume Retrieval in Swedish Forest

2015

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“…The science-data driven scenario is characterized by the inclusion of one ultra high mission (e.g. DESDynI [15]), and one extra "science alert" mission and "science high" mission. Finally, the budget constraint scenario assumes that NASA is no longer supporting the ISS and the science mission have been reduced significantly (only one "science high" mission and half of the other lower class missions).…”

Section: User Scenario Definitionmentioning

confidence: 99%

Architecting space communication networks under mission demand uncertainty

Net

Portillo

Cameron

et al. 2015

2015 IEEE Aerospace Conference

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Abstract-NASAs Space Network has been a successful program that has provided reliable communication and navigation services for three decades. As the third generation of satellites is being launched, alternatives to the current architecture of the system are being studied in order to improve the performance of the system, reduce its costs and facilitate its integration with the Near Earth Network and the Deep Space Network. Within this context, past research has proven the feasibility of efficiently exploring a large space of alternative network architectures using a tradespace search framework.Architecting a space communication network is a complex task that requires consideration of uncertainty, namely (1) factoring in customer demand variability, (2) predicting technology improvements and (3) considering possible budgetary constraints. This paper focuses on adding uncertainty associated with (1) to the existing communications network architecture tool by describing a heuristic-based model to derive mission concept of operations (conops) as a function of communication requirements. The accuracy of the model is assessed by comparing real conops from current TDRSS-supported missions with the predicted concept of operations. The model is used to analyze how customer forecast uncertainty affects the choice of the future network architecture. In particular, four customer scenarios are generated and compared with the current TDRSS capabilities.

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“…The global distribution and structure of terrestrial ecosystems are being rapidly modified by human and natural forces (Rosen et al, 2011). To understand changes and trends in terrestrial ecosystems and the impact of these changes on climate, habitat and biodiversity, it is important to produce high spatial resolution global maps of the three dimensional structure of vegetation and its aboveground biomass (Hall et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…In the United States of America, the National Aeronautics and Space Administration (NASA) once planned to launch the DESDynI mission which was composed with a L-band SAR system and a LiDAR system. One of the main objectives of DESDynI was to characterize the global distribution and changes of vegetation aboveground biomass and ecosystem structure related to the global carbon cycle, climate and biodiversity (Rosen et al, 2011). Besides the DESDynI mission, the NASA Carbon Monitoring System (CMS) was also initiated to quantify, understand, and predict the evolution of global carbon sources and sinks (http://carbon.nasa.gov/).…”

Section: Introductionmentioning

confidence: 99%