7 edition of Hyperspectral remote sensing of tropical and sub-tropical forests found in the catalog.
Includes bibliographical references and index.
|Statement||edited by Margaret Kalacska, G. Arturo Sanchez-Azofeifa.|
|Contributions||Kalacska, Margaret., Sánchez-Azofeifa, Gerardo-Arturo.|
|LC Classifications||SD387.R4 H97 2008|
|The Physical Object|
|Pagination||xxv, 320 p. :|
|Number of Pages||320|
|LC Control Number||2007045097|
Science Articles. Book review: Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests Photogrammetric Engineering And Remote Sensing Schill, S. R. Publisher: N/A Source: Science Chronicles: Volume / Issue: (2) Pages: Total Pages: N/A. Mangroves are salt tolerant woody plants that form highly productive intertidal ecosystems in tropical and subtropical regions. Despite the established importance of mangroves to the coastal environment, including fisheries, deforestation continues to be a major threat due to pressures for wood and forest products, land conversion to aquaculture, and Cited by:
By remote sensing signatures, we are re- ferring generally to the spectral, temporal, angular, or spatial information contained in an observation, often obtained from airborne or spaceborne instruments. Here, we are focusing on the nadir (or near-nadir) spectral signatures in the to nm wavelength by: Tropical wetlands support high biodiversity and ecological services, but in most areas they suffer from a paucity of baseline data to support management. We demonstrate how modern technology can be used to develop ecological baseline data including, landuse/landcover, water depth, water quality, lake-level fluctuation, and normalized difference vegetation index Cited by:
1. Introduction. Remote sensing of forest aboveground biomass (AGB) has received increasing attention during the last decade due to its relevance to global carbon cycle modeling and to international programs aimed at reducing greenhouse gas emissions in tropical areas, such as the United Nations Reducing Emissions from Deforestation and Forest Degradation (REDD+).Cited by: This book addresses the mapping of soil-landscape parameters in the geospatial domain. Hyperspectral Remote Sensing of Tropical and Subtropical forests The book explores a range of analysis techniques, including hyperspectral reflectance indices, spectral mixture analysis, pattern classification, band selection, partial least-squares 5/5(3).
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While frequently used in temperate environments, hyperspectral sensors and data are still a novelty in the tropics. Exploring the potential of hyperspectral remote sensing for assessing ecosystem characteristics, Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests focuses on the complex and unique set of challenges involved in using this Format: Hardcover.
Exploring the potential of hyperspectral remote sensing for assessing ecosystem characteristics, Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests focuses on the complex and unique set of challenges involved in using this technology and the data it cturer: CRC Press.
Remote Sensing and Plant Functional Groups: Physiology, Ecology, and Spectroscopy in Tropical Systems. Hyperspectral Data for Assessing Carbon Dynamics and Biodiversity of Forests. Effect of Soil Type on Plant Growth, Leaf Nutrient/Chlorophyll Concentration, and Leaf Reflectance of Tropical Tree and Grass Species.
While frequently used in temperate environments, hyperspectral sensors and data are still a novelty in the tropics. Exploring the potential of hyperspectral remote sensing for assessing ecosystem characteristics, Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests focuses on the complex and unique set of challenges involved in using tCited by: Exploring the potential of hyperspectral remote sensing for assessing ecosystem characteristics, Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests focuses on the complex and unique set of challenges involved in using this technology and the data it provides.
field of forest management and the environment. Book on "Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forest" has given a new dimension and the spirit against the use of remote sensing technology for better forest management.
This pages of book is composed by about 36 contributors page, quoting around studies, have been. Illustrates the potential of hyperspectral remote sensing with regard to a variety of forest applications, with specific consideration for tropical forest ecosystems.
This book illustrates the use of hyperspectral reflectance indices, spectral mixture analysis, pattern classification, band selection, and partial least-squares.
Hyperspectral Remote Sensing: Theory and Applications offers the latest information on the techniques, advances and wide-ranging applications of hyperspectral remote sensing, such as forestry, agriculture, water resources, soil and geology, among others.
The book also presents hyperspectral data integration with other sources, such as LiDAR, Multi-spectral data, and other remote sensing Book Edition: 1.
Some research results from an airborne hyperspectral imaging over Bukit Nanas forest reserve was shared implicating high potential of such very high resolution imaging techniques for tropical mixed dipterocarp forest inventory and mapping for species discrimination. Hyperspectral Remote Sensing of Exposed Wood and Deciduous Trees in Seasonal Tropical Forests.
In book: Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests. Exploring the potential of hyperspectral remote sensing for assessing ecosystem characteristics, Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests focuses on the complex and unique set of challenges involved in using t.
HYPERSPECTRAL REMOTE SENSING OF TROPICAL AND SUBTROPICAL FORESTS _Cindd 1 1/14/08 AM _Cindd 2 1/14/08 AM HYPERSPECTRAL REMOTE SENSING OF TROPICAL AND SUBTROPICAL FORESTS Edited by Margaret Kalacska G. Arturo Sanchez-Azofeifa _Cindd 3 1/14/08 AM. Tropical forests are globally important owing to their extremely high species diversity and their major role in biogeochemical cycles.
A new generation of hyperspectral, hyperspatial, and hypertemporal sensors is making rapid and innovative advances in the understanding of tropical forest composition, structure, and function over broad spatial and temporal by: 6.
Hyperspectral Remote Sensing of Vegetation integrates this knowledge, guiding readers to harness the capabilities of the most recent advances in applying hyperspectral remote sensing technology to the study of terrestrial vegetation.
Taking a practical approach to a complex subject, Reviews: 1. Summary: Illustrates the potential of hyperspectral remote sensing with regard to a variety of forest applications, focussing on tropical forest ecosystems.
This book also illustrates real world examples, employing data that is useful to a range of professions including remote sensing analysts, ecologists, and biologists. Hyperspectral Remote Sensing of Vegetation: Knowledge Gain and Knowledge Gap After 40 years of Research 40 50 e rcent) Y.
sec. Forest P. forest 50 75 0 barley 10 20 Reflectance (p 30 Slash&Burn Raphia palm Bamboo 0 25 20 HY91 wheat Prasad S. Thenkabail Research Geographer, U.S. Geological Survey (USGS) Landsat Science Team Meeting 0 Sensors, an international, peer-reviewed Open Access journal.
Dear Colleagues, This Special Issue is aimed to the submission of both review and original research articles related to multi and hyperspectral applications in subtropical and tropical regions worldwide. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this. 8 Hyperspectral Remote Sensing 1 In February the company ASD celebrated its 20th anniversary with key 2 people in the HRS ﬁeld (Goetz, ).
The consensus there was that HRS/IS 3 technology is still far from reaching its potential, with signiﬁcant growth still 4 ahead. Nonetheless, today, in addition to the growing number of scientiﬁc 5 papers and conferences File Size: 4MB.
Hyperspectral remote sensing of vegetation parameters using statistical and physical models Roshanak Darvishzadeh Thesis To fulfil the requirements for the degree of Doctor on the authority of the Rector Magnificus of Wageningen University Prof. M.J. Kropff to be publicly defended on Friday 16th of May, at hrs.
(). Hyperspectral remote sensing of salinity stress on red (Rhizophora mangle) and white (Laguncularia racemosa) mangroves on Galapagos Islands. Remote Sensing Letters: Vol.
2, No. 3, pp. Cited by: Hyperspectral Remote Sensing of Canopy Biodiversity in Hawaiian Lowland Rainforests Kimberly M. Carlson,1 Gregory P.
Asner,1,* R. Flint Hughes,2 Rebecca Ostertag,3 and Roberta E. Martin1 1Department of Global Ecology, Carnegie Institution of Washington, Panama Street, Stanford, CaliforniaUSA; 2Institute for Paciﬁc Islands Forestry, USDA Forest Cited by:  Asner, G.P., “Hyperspectral remote sensing of canopy chemistry, physiology and diversity in tropical rainforests”, In Hyperspectral remote sensing of tropical and subtropical forests, M.
Kalacska and G.A. Sanchez-Azofeifa (eds.) Taylor and Francis, Chap Cited by: 1.