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Hyperspectral Remote Sensing of Vegetation and Agricultural Crops Hyperspectral Remote Sensing of Vegetation and Agricultural Crops

No abstract available.
Authors
Prasad S. Thenkabail, Murali Krishna Gumma, Pardhasaradhi G. Teluguntla, Mohammed Ilyas

Future scenarios of impacts to ecosystem services on California rangelands Future scenarios of impacts to ecosystem services on California rangelands

The 18 million acres of rangelands in the Central Valley of California provide multiple benefits or “ecosystem services” to people—including wildlife habitat, water supply, open space, recreation, and cultural resources. Most of this land is privately owned and managed for livestock production. These rangelands are vulnerable to land-use conversion and climate change. To help resource...
Authors
Kristin Byrd, Pelayo Alvarez, Lorraine Flint, Alan Flint

Remotely-sensed indicators of N-related biomass allocation in Schoenoplectus acutus Remotely-sensed indicators of N-related biomass allocation in Schoenoplectus acutus

Coastal marshes depend on belowground biomass of roots and rhizomes to contribute to peat and soil organic carbon, accrete soil and alleviate flooding as sea level rises. For nutrient-limited plants, eutrophication has either reduced or stimulated belowground biomass depending on plant biomass allocation response to fertilization. Within a freshwater wetland impoundment receiving minimal...
Authors
Jessica L. O’Connell, Kristin B. Byrd, Maggi Kelly

Marine fog: a review Marine fog: a review

The objective of this review is to discuss physical processes over a wide range of spatial scales that govern the formation, evolution, and dissipation of marine fog. We consider marine fog as the collective combination of fog over the open sea along with coastal sea fog and coastal land fog. The review includes a history of sea fog research, field programs, forecasting methods, and...
Authors
Darko Koracin, Clive E. Dorman, John M. Lewis, James G. Hudson, Eric M. Wilcox, Alicia A. Torregrosa

Changes in population evacuation potential for tsunami hazards in Seward, Alaska, since the 1964 Good Friday earthquake Changes in population evacuation potential for tsunami hazards in Seward, Alaska, since the 1964 Good Friday earthquake

Pedestrian evacuation modeling for tsunami hazards typically focuses on current land-cover conditions and population distributions. To examine how post-disaster redevelopment may influence the evacuation potential of at-risk populations to future threats, we modeled pedestrian travel times to safety in Seward, Alaska, based on conditions before the 1964 Good Friday earthquake and tsunami...
Authors
Nathan J. Wood, Mathew C. Schmidtlein, Jeff Peters

Automated Cropland Classification Algorithm (ACCA) for California using multi-sensor remote sensing Automated Cropland Classification Algorithm (ACCA) for California using multi-sensor remote sensing

Increasing pressure to feed the growing population with scarce water resources requires accurate and routine cropland mapping. This paper develops and implements a rule-based automated cropland classification algorithm (ACCA) using multi-sensor remote sensing data. Pixel-by-pixel accuracy assessments showed that ACCA produced an overall accuracy of 96 percent (Khat = 0.8) when tested...
Authors
Zhuoting Wu, Prasad S. Thenkabail, James Verdin

Optimization in the utility maximization framework for conservation planning: a comparison of solution procedures in a study of multifunctional agriculture Optimization in the utility maximization framework for conservation planning: a comparison of solution procedures in a study of multifunctional agriculture

Quantitative methods of spatial conservation prioritization have traditionally been applied to issues in conservation biology and reserve design, though their use in other types of natural resource management is growing. The utility maximization problem is one form of a covering problem where multiple criteria can represent the expected social benefits of conservation action. This...
Authors
Jason R. Kreitler, David M. Stoms, Frank W. Davis

Conflation and aggregation of spatial data improve predictive models for species with limited habitats: a case of the threatened yellow-billed cuckoo in Arizona, USA Conflation and aggregation of spatial data improve predictive models for species with limited habitats: a case of the threatened yellow-billed cuckoo in Arizona, USA

Riparian vegetation provides important wildlife habitat in the Southwestern United States, but limited distributions and spatial complexity often leads to inaccurate representation in maps used to guide conservation. We test the use of data conflation and aggregation on multiple vegetation/land-cover maps to improve the accuracy of habitat models for the threatened western yellow-billed...
Authors
Miguel L. Villarreal, Charles van Riper, Roy E. Petrakis

Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm

Increasing drought occurrences and growing populations demand accurate, routine, and consistent cultivated and fallow cropland products to enable water and food security analysis. The overarching goal of this research was to develop and test automated cropland classification algorithm (ACCA) that provide accurate, consistent, and repeatable information on seasonal cultivated as well as...
Authors
Zhuoting Wu, Prasad S. Thenkabail, Rick Mueller, Audra Zakzeski, F. Melton, Lee Johnson, Carolyn Rosevelt, John Dwyer, Jeanine Jones, James P. Verdin

Applying the Land Use Portfolio Model with Hazus to analyse risk from natural hazard events Applying the Land Use Portfolio Model with Hazus to analyse risk from natural hazard events

This paper describes and demonstrates the integration of two geospatial decision-support systems for natural-hazard risk assessment and management. Hazus is a risk-assessment tool developed by the Federal Emergency Management Agency to identify risks and estimate the severity of risk from natural hazards. The Land Use Portfolio Model (LUPM) is a risk-management tool developed by the U.S
Authors
Laura B. Dinitz, Richard A. Taketa

Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission

Precise monitoring of agricultural crop biomass and yield quantities is critical for crop production management and prediction. The goal of this study was to compare hyperspectral narrowband (HNB) versus multispectral broadband (MBB) reflectance data in studying irrigated cropland characteristics of five leading world crops (cotton, wheat, maize, rice, and alfalfa) with the objectives of...
Authors
Isabella Mariotto, Prasad S. Thenkabail, Alfredo Huete, E. Terrence Slonecker, Alexander Platonov

Estimated global nitrogen deposition using NO2 column density Estimated global nitrogen deposition using NO2 column density

Global nitrogen deposition has increased over the past 100 years. Monitoring and simulation studies of nitrogen deposition have evaluated nitrogen deposition at both the global and regional scale. With the development of remote-sensing instruments, tropospheric NO2 column density retrieved from Global Ozone Monitoring Experiment (GOME) and Scanning Imaging Absorption Spectrometer for...
Authors
Xuehe Lu, Hong Jiang, Xiuying Zhang, Jinxun Liu, Zhen Zhang, Jiaxin Jin, Ying Wang, Jianhui Xu, Miaomiao Cheng
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