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Friday, May 1, 2020 | History

2 edition of Polarimetric data for tropical forest monitoring found in the catalog.

Polarimetric data for tropical forest monitoring

Marcela QuiГ±ones FernГЎndez

Polarimetric data for tropical forest monitoring

studies at the Colombian Amazon

by Marcela QuiГ±ones FernГЎndez

  • 197 Want to read
  • 35 Currently reading

Published by Tropenbos International in Wageningen, The Netherlands .
Written in English

    Subjects:
  • Forests and forestry -- Colombia -- Remote sensing,
  • Artificial satellites in forestry -- Colombia,
  • Radar in forestry -- Colombia,
  • Forests and forestry -- Amazon River Region -- Remote sensing,
  • Artificial satellites in forestry -- Amazon River Region,
  • Radar in forestry -- Amazon River Region,
  • Polarimetric remote sensing

  • Edition Notes

    StatementMarcela Quiñones Fernández.
    SeriesTropenbos series -- 21
    Classifications
    LC ClassificationsSD387.R4 Q53 2002
    The Physical Object
    Pagination184 p., 12 p. of plates :
    Number of Pages184
    ID Numbers
    Open LibraryOL23167554M
    ISBN 109058087506, 9051130619
    LC Control Number2003538419

    POLARIMETRIC ANALYSIS OF AIRBORNE DLR-ESAR DATA FOR VEGETATION CHARACTERIZATION INTRODUCTION: Polarimetry is the measurement and interpretation of different polarizations of electro-magnetic waves. Synthetic Aperture Radar (SAR) has been proven to be a powerful earth observation tool and emerging. To this aim, in this paper we present a novel approach for monitoring grassland dynamics based on polarimetric high-resolution SAR imagery, which is capable of handling either dual- or quad-polarization multi-temporal data and supports targeted classification. Repeat pass polarimetric data is then used to monitor the temporal change in flooded vegetation. This information is useful for a variety of applications in wetland mapping and monitoring. This paper will present a novel Curvelet-based technique for the enhancement of polarimetric decomposition channels as well as temporal differences in these Cited by: 2. various applications related to earth resource studies and monitoring of the environment. Recently, resolution of remote sensing data has been improved in visible images as well as Synthetic Aperture Radar (SAR) images. Polarimetric Airborne Synthetic Aperture Radar (AIRSAR) data that was used are fully polarized C band, L band and P band data.

      Yeh , Qi Z. () Short-Interval Monitoring of Land Use and Land Cover Change Using a Time Series of RADARSAT-2 Polarimetric SAR Images. In: Kwan MP., Richardson D., Wang D., Zhou C. (eds) Space-Time Integration in Geography and by: 3.


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Polarimetric data for tropical forest monitoring by Marcela QuiГ±ones FernГЎndez Download PDF EPUB FB2

The Use of Polarimetric SAR Data for Forest Disturbance Monitoring Article (PDF Available) in Sensing and Imaging An International Journal 11(1) March with Reads How we measure.

Abstract. Tropical forest degradation has been a major area of interest for the remote sensing community. Various sensors have been dedicated to monitor its changes; however, due to widespread cloud cover, limited information could be retrieved through optical by: The use of radar data in recent studies of tropical forests has demonstrated several applications: the characterization of tropical forest typology [9] and [10]; the analysis of polarimetric.

Chapter 3: Forest Cover Monitoring Based on Full Polarimetric PALSAR Data Chapter 4: Forests and Deforestation Characterization Using PALSAR Data Chapter 5: Deforested Area Height Estimation Using Dems Data; PALSAR polarimetric data are superior for inventorying invasive forest species in rainy forest Phase information is crucial, e.g., HH and VV, HH and HV phase differences, and polarimetric coherences should be exploited RADARSAT-2 data did not perform well, perhaps a steeper incidence angle may useful PALSAR FBD HH, HV, HH/HV.

Home / Shop / Books / Science and Technology / Environmental Sciences / Tropical Forest, Geospatial Data and REDD+. Thiel C., Thiel C., Eckardt R., Richter N., Schmullius C., Multisensor analysis for forest monitoring in boreal and tropical forest environments.

The use of polarimetric SAR data for forest disturbance monitoring. 1 Estimation and Monitoring of Tropical Forest Biomass Using Polarimetric Interferometric SAR Data. Parivash Lumsdon (1), Bryan Mercer(1), Qiaoping Zhang (1) Intermap Technologies Corp., #- 4th Ave. S.W. Calgary, AB T2P 3E7 Canada.

The main objective of this study is to evaluate tropical forest mapping and biomass estimation using new generation C- L- and P-band fully polarimetric and C- L-band Interferometric NASA/JPL AirSAR/TopSAR data. A model to compensate for the effect of relief on polarimetric signals of.

This chapter discusses the polarimetric responses of PALSAR (L-band) data and scattering mechanisms of some tropical forest typologies based on target decomposition. The fundamentals of polarimetric theory related to both SAR topics under development are summarized.

For representation of polarimetric signatures, the cross-section of the forest target (σ) was plotted on a bi-dimensional Cited by: Tropical Forest Mapping using Multiband Interferometric and Polarimetric SAR Data K.

Prakoso Evaluating POLinSAR Tree Height and Topography Retrievals in Glen Affric I. Woodhouse, S. Cloude, K. Papathanassiou & C., Hutchinson Vegetation Parameters using TOPSAR and GeoSAR SystemsFile Size: KB.

Polarimetric Decomposition of SAR Data for Forest Structure Assessment SHRINIWAS AGASHE ©SHRINIWAS AGASHE, Department of Earth and Space Sciences Chalmers University of Technology SE 96 Göteborg Sweden Telephone: +46 (0) Department of Earth and Space Sciences Göteborg, Sweden File Size: 8MB.

This paper assesses compact polarimetry on a tropical forest fringe, especially to monitor expanding oil palm estate and Polarimetric data for tropical forest monitoring book disturbance, in comparison to fully polarimetric mode.

PALSAR data of Manokwari, Indonesia, were collected from JAXA through RA by: 2. polarimetric scattering model for multilayered vegetation in tropical forest charles d richardson april, supervisors: mr.

shashi kumar dr. hussin. Dear Colleagues, During the last two decades, an increasing number of spaceborne Synthetic Aperture Radar (SAR) systems have been equipped with polarimetric capabilities, as for instance, ALOS and ALOS-2, Radarsat-2, TerraSAR-X, Envisat-ASAR, Sentinel-1a/b, etc.

Future planned mission will still present this type of diversity where some examples are RCM, SAOCOM and SAOCOM-CS, Cosmo. BIOMASS RETRIEVAL BASED ON UAVSAR POLARIMETRIC DATA Zhiyu Zhang a, b, c, Guoqing Sun c, L.

Zhang a, b, and W. Huang c a School of Geographyand Remote Sensing Science, Beijing Normal University, [email protected] b State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications of Chinese.

Therefore, SAR is preferred for the estimation of forests parameters. Previous studies have already shown the potential of polarimetric SAR in the estimation of forest parameters using single and dual polarised SAR data for estimation of AGB (Le Toan et al.,Lo Seen et al.,Mitchard et al.,Morel et al., ).Cited by: There is an increasing need for fast and accurate data on tropical land cover status, and a baseline for land cover monitoring.

Remotely sensed SAR data are not sensitive to cloud cover and can be useful for such purpose. Polarimetric SAR data are available in orbital systems, such as RADARSAT-2, and still have to be tested for the classification of tropical land cover and the detection of.

Mehsana district (° N, ° E) of Gujarat state in India was selected for the study. The study area majorly comprises of agricultural land, surrounded by natural vegetation and scrub lands, village clusters and few water bodies with one big canal ().This region is selected for the study due to variability in crop type and crop phenological stages within a smaller by: 1.

Rainforest Monitoring Improved by Data Fusion. In late April, Science magazine reported that Brazil is a world leader in tropical forest monitoring thanks to their use of data from a number of Earth-observing satellites.

“Peering through the clouds.” Science magazine recently compiled this list of Earth-observing satellites used to monitor. Estimation of Carbon Stocks in South East Sulawesi Tropical Forest, Indonesia using Polarimetric. Open Access Journal Page 50 area or primary forest, it is suggested to use L-band frequencies and even P-band [14], [16], [17].

For more. 98 ITB J. Sci. Vol. 41 A, No. 2,Received May 27th,Revised August 8th,Accepted for publication August 10th, Tropical Mangrove Mapping Using Fully-Polarimetric Radar Data Bambang H. Trisasongko. Polarimetric data may provide unique information on forest canopies related in particular to canopy architecture and the consequent scattering mechanisms.

Backscatter mechanisms include direct backscatter from branches (single bounce/volume scattering), backscatter from trunks (single bounce), scattering from branch-ground interaction (double. model is shown to represent the behavior of polarimetric backscatter from a tropical forest and two temperate forest sites, by applying it to data from NASA/JPL's AIRSAR system.

Scattering contributions from the two basic scattering mechanisms are estimated for clusters of pixels in polarimetric SAR images. The solution involves the.

Data Record for Tropical Forest Monitoring Extended with New Cloud-Detection Method International Institute of Tropical Forestry, U.S. Forest Service. Cloud cover can make tracking tropical forest change with satellites challenging.

Above is a panoramic view of El Yunque National Forest taken from the top of El Yunque Peak on April 8, A systematic monitoring using L-band radar images of water level changes beneath the forest canopy would provide priceless information for the construction of multitemporal sensitivity index maps to oil spills in different seasons of the Amazonian hydrological cycle.

SAR RB data were acquired on 01 June, and the study with simulated Cited by: 5. It is important to monitor vegetation such as forests in order to understand the impacts of global climate change on terrestrial ecosystems and agriculture crops to ensure food security to the people and livestock.

Remote sensing data such as polarimetric SAR data plays a useful role in estimating total vegetation cover and biomass. In this study, a radar vegetation index (RVI) were used to.

Polarimetric rainfall retrieval provides new opportunities for using C-band weather radars in tropical environments.

In particular, they allow addressing the issue of path-integrated attenuation which is a dominant phenomenon for C-band radars that observe highly intensive tropical rainfall events.

remote sensing Article Polarimetric ALOS PALSAR Time Series in Mapping Biomass of Boreal Forests Oleg Antropov 1,* ID, Yrjö Rauste 2, Tuomas Häme 2 and Jaan Praks 1 1 Department of Electronics and Nanoengineering, School of Electrical Engineering, Aalto University, P.O. BoxFI AALTO, Espoo, Finland; @aalto.fiCited by:   In the tropical forest domain, AVHRR km data were also used for producing pan-tropical forest maps, with classification techniques adapted to the ecological conditions of this area, e.g.

low seasonality, and nearly permanent cloud coverage (Achard et al. ; Eva et al. ; Mayaux et al. These AVHRR-based products have been well Cited by: The final book focuses on passive electro-optical polarimetric remote sensing in the visible through the thermal infrared ( mm).

Polarimetric remote sensing is a relatively new field. It has champions who tout that polarimetric measurements are uncorrelated with traditional measurements of the magnitude and spectral content of the.

new method to extract forest height from repeat-pass polarimetric interferometeric SAR (POLInSAR) data. Forest biomass can then be estimated without saturation by using tree height and some known forest growth models [6]. Forest applications are the most important and successful field for.

Polarimetric, two-color, photon-counting laser altimeter measurements of forest canopy structure David J. Harding*a, Philip W. Dabneya and Susan Valett a aNASA Goddard Space Flight Center, Greenbelt Rd., Greenbelt, MD, USA Cited by: Forest Service Remote Sensing Applications Center Forest Inventory Analysis United States Agency for International Development International Programs Forest Carbon Monitoring: A Review of Selected Remote Sensing and Carbon Measurement Tools for REDD+.

Examining Change Detection Approaches for Tropical Mangrove Monitoring. October: – Franklin, Steven E. Integration of Lidar and Landsat Data to Estimate Forest Canopy Cover in Coastal British Columbia. October: – Friedland, Carol J. High Resolution Imagery Collection for Post-Disaster Studies Utilizing Unmanned Aircraft Systems.

1. MAPPING INVASIVE PLANT SPECIES IN TROPICAL RAINFOREST USING POLARIMETRIC RADARSAT-2 AND PALSAR DATA Abduwasit Ghulama, Karen Freemanb, An Bollenb, Robert Ripperdana, Ingrid Portonc aDepartment of Earth and Atmospheric Sciences and Center for.

title = "Evaluation of polarimetric SAR decomposition for classifying wetland vegetation types", abstract = "The Florida Everglades is the largest subtropical wetland system in the United States and, as with subtropical and tropical wetlands elsewhere, has been threatened by severe environmental by: information for mapping and monitoring Canada’s wetlands.

Above: Wetland Classification using the Touzi polarimetric scattering phase. The new RADARSAT-2 satellite has unique polarimetric and all-weather capabilities. The purpose of this project is to test the value of RADARSAT-2 data.

for characterizing and monitoring wetlands. Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Holly K Gibbs 1, Sandra Brown 2, John O Niles 3 and Jonathan A Foley 1. Published 1 October • IOP Publishing Ltd Environmental Research Letters, Volume 2, Number 4 Focus on Tropical Deforestation and Greenhouse Gas EmissionsCited by: relationship between biomass and forest height B a H b (1) where B is the Biomass in Mg/ha and H the forest top height.

1 has been used to estimate forest biomass using forest height estimates obtained from Pol-InSAR data inversion. This approach provides reliable results for closed canopy forest systems without strong density variations.

Introduction to RADAR POLARIMETRY Marco Lavalle GeoInformation Ph.D. Programme at European Space Agency ALOS PALSAR Sept - Traunstein Forest (Germany) SCATTERING POLARIMETRY ALOS PALSAR Jun - Etiopia.

Exploitation of PALSAR Polarimetric Data Topic #2: Polarimetric and Interferometric Target Modeling. The tropical forest in south east Asia: Monitoring and scenario modeling using synthetic aperture radar data. Applied Geography,Thiel, C., Schmullius, C. Investigating the impact of freezing on the ALOS PALSAR InSAR phase over Siberian forests.Forest Inventory and Monitoring in the Amazon Forest monitoring in the Amazon basin is vital to map forest cover and identify areas of deforestation.

Moreover, forest biomass measurement is a necessary step to identify total forest carbon stocks and establish baselines for .Diurnal Variation of Tropical Ice Cloud Microphysics: Evidence from Global Precipitation Measurement Microwave Imager Polarimetric Measurements Jie Gong1, Xiping Zeng2, Dong L.

Wu3, and Xiaowen Li4 1GESTAR Program, Universities Space Research Association, Columbia, MD, USA, 2U.S. Army Research Laboratory, Adelphi,Cited by: 3.