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This paper presents a general framework for the simulation of remote sensing image time series with spatial, textural, spectral and temporal realistic characteristics. The main goal of this work is to be able to produce data which is representative of the kind of images which will be acquired by future space Earth observation missions as for instance VENμS, Sentinel-2 or LDCM. This simulated data...
NDVI maps have been proven valuable in providing a spatially complete view of crop's vegetation condition, which manifests disastrous events such as massive flood and drought. It is virtually impossible to obtain from ground survey data. This paper uses NASA MODIS 250m resolution, daily surface reflectance data for crop condition monitoring. The NDVI provides an absolute metrics for vegetation condition...
Three minimum-error land cover classifiers are compared on coarse resolution MODerate-resolution Imaging Spectroradiometer (MODIS) surface reflectance data for discerning between vegetation and settlement classes. It is shown that good class separability can be achieved using only the seasonal component of Normalized Difference Vegetation Index (NDVI) data, or the mean component of several other MODIS...
Ground surface deformation can be monitored from time series of SAR interferograms. Conventional approaches to that problem usually require unwrapping of the interferograms that can be limiting due to decorrelation. We present a method producing denoised wrapped phase time series from a set of differential interferograms. The different paths linking two dates are combined to derive the most likely...
This work presents a study about the evolution of the radar response of rice fields at X-band as a function of their phenology, by using three time series of coherent HHVV dual-pol X-band radar images acquired by the TerraSAR-X sensor at different incidence angles during a whole cultivation season. After analyzing a wide set of polarimetric observables, with particular sensitivities at different moments...
Time series derived from the first two spectral bands of the MODerate-resolution Imaging Spectroradiometer (MODIS) land surface reflectance product can be modelled as a pair of triply (mean, phase and amplitude) modulated cosine functions. This paper proposes a meta-optimization approach for setting the parameters of the non-linear Extended Kalman Filter to rapidly and efficiently estimate the features...
This paper presents a data mining approach for describing Satellite Image Time Series (SITS) spatially and temporally. It relies on pixel-based evolution and sub-evolution extraction. These evolutions, namely the {frequent grouped sequential patterns}, are required to cover a minimum surface and to affect pixels that are sufficiently connected. These spatial constraints are actively used to face large...
Traditional Change Vector Analysis in Multi-temporal space (TCVAM) can effectively extract land cover change information based on VI time series, and it has been one of the main methods to detect land cover change at large scale. However, the TCVAM may exaggerate the change information and mix the land cover conversion and land cover modification because of the oversensitivity to the changes of VI...
We report on results from spaceborne velocity and topography measurements of the Drygalski glacier, Antarctic Peninsula. For our analysis we use a time series of TerraSAR-X data acquired between 2007 and 2010 which enables us to perform an error analysis and to determine higher order velocity parameters such as acceleration. Our estimated accuracy for velocity estimation is on the order of 2 cm/day...
Synthetic Aperture Radar interferometry allows to measure spatio-temporal patterns of deformation. However this geodetic technique is limited by unwrapping difficulties linked with temporal decorrelation and topographic errors in partially incoherent and mountainous areas. This paper presents a new algorithm to correct and remove DEM errors in order to improve the phase unwrapping step. The method...
In this paper, a change detection accuracy comparison is made between a recently proposed EKF method and a sliding window Fast Fourier Transform (FFT) alternative within a spatio-temporal change detection framework. Both methods produce a mean and amplitude parameter sequence which is then used to determine a change metric which yield a change of no-change decision after thresholding. The objective...
GLASS albedo is a newly developed global daily land-surface broadband albedo product with 1-km spatial resolution. There are two main deficiencies in GLASS albedo products: 1) large areas of missing data mainly caused by cloud coverage; 2) sharp fluctuations in time series due to noise and uncertainties in inversion algorithm. This paper proposed a temporal filtering algorithm to reconstruct daily...
Land cover change, especially deforestation, is a priority issue for policymakers at the local, national and international scale. Deforestation's contribution of up to 20% of global green-house gas emissions is already well known; the loss of biodiversity from land conversion is also well established [7, 13]. Policymakers at the UN Framework Convention on Climate Change negotiations are addressing...
TerraSAR X-band provides high resolution of 1m, short revisit period of 11days, and sensitive subsidence information, while it cannot afford relatively so high temporal and spatial coherence and wide area coverage as ALOS L-band data. In this work, we exploited the potential of combining L- and X-band for subsidence monitoring. A case study was conducted in Tianjin induced by water withdrawal. A total...
This paper investigates the use of dense time series of C-band SAR data (i.e. acquired with revisit time within 1–2 weeks) for the retrieval of volumetric soil moisture content (mv) underneath agricultural crops. Its final aim is to contribute at assessing retrieval strategies for monitoring agricultural areas using near future frequent-revisit SAR missions, such as the forthcoming European Sentinel-1...
An earthquake with a presumed magnitude of 7.0 occurred on January 12, 2010 in Port au Prince/Haiti. The disaster area has been extracted using an overlay technique of multi spectral data from the ALOS satellite and the maximum likelihood classification technique to compare images before the earthquake strike and after it struck. In addition, the situation of reconstruction was interpreted by using...
Coastal shoreline movement due to erosion and deposition is a major concern for coastal zone management. Shoreline changes by natural cause or development constructions. Shoreline change is threatening and destroying living things in the marine environment. Topography of coastal area changes frequently due to a drastic sediment movement. In this study, we monitor the shoreline change and movement...
Crofton weed (Eupatorium adenophorum spreng) is an invasive species widely distributed in southwest of China. In this paper, we proposed a method for mapping the distribution of Crofton weed using time series remote sensing data. Because the reflectance signatures of the white flowers of Crofton weed are quite different from the other green components of plants, dissimilar index and flower index can...
Satellite Image Time Series (SITS) analysis is an important domain with various applications in land study. In the coming years, both high temporal and high spatial resolution SITS will be available. This article aims at providing both temporal and spatial analysis of SITS. We propose first segmenting each image of the series, and then using these segmentations in order to characterize each pixel...
Remote sensing plays a key role in monitoring the quality and coverage of the tropical forests, and for early warning of illegal logging and forest degradation. We propose a hidden Markov model based methodology for analyzing time series of remote sensing images of tropical forests with the aim of detecting changes in the spatial coverage of the forest. Two different methods are investigated; the...
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