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The radiometric quality of polarimetric SAR (PolSAR) image is affected by terrain undulations due to 1) the variation of effective scattering area, 2) the variation of scattering mechanisms, and 3) the variation of polarization states. This paper proposed a three-stage terrain correction method of PolSAR data for the impact of above three aspects. PALSAR-2 PolSAR data and LiDAR forest AGB data are...
AfriSAR is an ESA-funded airborne P-band SAR campaign over the African tropical forests of Gabon that is being carried out by ONERA (July 2015) and DLR (February 2016) in support of the development of the geophysical algorithms of the future BIOMASS mission. Multibaseline fully-polarimetric acquisitions have been designed over four test sites in order to further develop and validate algorithms for...
Land cover is an important part of ecosystem change and driving factors, while above ground biomass also plays an important role in carbon cycling. Supported by object-oriented classification technology, the land cover data of China (ChinaCover) in 2010 have been produced using Landsat TM/ETM and HJ-1 satellite data of 30m resolution, combined with a large number of data of field investigation. At...
China has a wide variety of forest types. It is challenging to make a reliable estimation of these forest aboveground biomass (AGB) using geo-spatial technologies. We developed a Field-Airborne-Spaceborne (FAS) comprehensive observation method for AGB estimation. According to forest ecological zones of China, we carried out three FAS campaigns in the Northeast, central, and Southwest of China. Airborne...
Data synergy or fusion is a mechanism whereby discrete types of data are used together to achieve a better understanding than was possible with each individually. Spanning over 30% of the Earth's landmass, the global forest plays a significant role in numerous planetary systems including the carbon cycle. This paper presents a novel approach to estimating forest aboveground biomass and mean canopy...
The forest aboveground biomass and its dynamics are essential for researches of carbon cycling. The estimation of forest aboveground biomass is an important topic in the application of remote sensing. However, the estimation accuracy is limited by the lack of forest structures. Recent progresses over the past decade in the estimation of forest biomass from remote sensing data was mainly due to the...
The red palm weevil (RPW) is a dangerous invasive insect species that is causing severe damage to date palm trees around the world. This study focuses for the first time on the detection and discrimination among different stages of RPW stress-attacks using bio-physiological spectral indices and statistical analysis of satellite image data. A total of 27 different indices were assessed using new technology...
With a view to the growing demands for detecting bio/geophysical information and foliage/ground-obscured targets on a global scale, using the low-frequency space-borne SAR systems is a promising direction. However, these fine application prospects of such systems are easily obstructed by the ionosphere. Thus, understanding the mechanism of how the ionosphere introduces the undesired effects is necessary...
3D multibaseline SAR Tomography is emerging at the operational level for spaceborne monitoring of forest biomass, nevertheless problems still stands in particular about radiometric accuracy of the most diffused superresolution Capon processing. In this paper two alternative adaptive algoritms are proposed for Tomography, and tested by simulations and first P-band real data trials.
Plant biomass is an important parameter for crop management and yield estimation. The potential of compact polarimetric (CP) synthetic aperture radar (SAR) data in estimating biomass of oilseed rape crop (Brassica napus L.) is investigated in this study. Five CP SAR imagery was simulated using five fully polarimetric Radarsat-2 data, and the dynamic evolution of polarimetric features, relying on different...
This study explored the use of plant images to perform fractal analysis of plant architecture and growth to estimate above ground biomass. Fractal analysis of plant architectures was performed to quantify and describe functional obligations of plants. The methods used for this study included a) the assimilation of various plant species' images, b) computation of fractal dimensions and derived measures...
The time variation of phase height from interferometric SAR (InSAR) from TanDEM-X is shown for 3 years, in Tapajos National Forest, Brazil. Its RMS, for one secondary stand, about a model linear in time is 0.5 m. This RMS is compared to that for 30 stands at one epoch. The single-epoch RMS for a model linear in mean field height is 2.2 m. It is suggested that the improved performance of the temporal...
This paper describes BorealScat, a tower-based radar campaign for acquiring multitemporal polarimetric, tomographic and Doppler radar measurements at P-, L- and C-band over a hemi-boreal forest site in Remningstorp, Sweden. The facility consists of a 50-m high tower equipped with a radar system including an array of 30 antennas. The site will also be equipped with meteorological instruments and moisture...
It is critical to estimate the biomass for assessing crop growth and predicting yield in crop. The hyperspectral techniques provide a powerful technique for monitoring crop biomass. The previous studies about using hyperspectral data to study crop mainly focused on models based on the full spectra or the manually selected spectra. The stability and prediction ability of full spectra models may be...
The objective of this study is to develop a fusion scheme to fuse LiDAR and radar data to retrieve vegetation structure and biomass using Bayesian inversion. The common Geometric Optical and Radiative Transfer model developed for discontinuous plant canopy are used to simulate LiDAR and radar backscattering. Preliminary inversion results show tha tree density can be retrieved with most accuracy and...
Potential for synergetic use of Sentinel- 1 and Sentinel-2 for mapping biomass of Mediterranean shrublands is investigated. As preliminary research, backscatter and its ratio from Sentinel-1 (C-band dual polarization SAR), and NDVI from Sentinel-2 (13 bands multi-spectral data) are assessed by using the NDVIR biomass model. Then the fusion biomass model is proposed based on shrub volume formations...
Vegetation features have been assessed by using microwave radiometric data (AMSR-E/2, SMAP) in order to retrieve vegetation biomass maps on a global scale. The tau-omega model has been used for estimating the vegetation optical depth (tau, τ) from microwave data at different frequencies. An algorithm based on Artificial Neural Networks (ANN) and able to ingest data from different frequency channels...
GNSS-Reflectometry as a tool for remote sensing plays a key role in various applications. Recently, soil moisture and vegetation sensing in land field have attracted widespread interest. Little attention has been paid to sensing of these parameters using the reflectivity polarization ratio. In this work, airborne polarimetric measurements were carried out flying over areas with different geographical...
The current paper aims to provide a brief overview of the ESA activities relevant to Polarimetric SAR missions mission development and exploitation, present achievements and discuss future opportunities for research.
Rangelands in Australia cover approximately 80 percent of the continent and include a diverse group of relatively undisturbed ecosystems such as tropical savannas, woodlands, shrublands and grasslands. It is important to monitor and understand change in the rangelands so that effective actions can be taken to maintain ecological, economic and social values in Australia. Efficient use of feed resources...
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