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Spectral signature based post classification change detection approach is applied to identify the changes in Brahmaputra river along with sandbars around Kaziranga National Park in Assam, India. Landsat 5 images from 2006 to 2011 are used and the results are compared with the annual rainfall of the region to identify areas that are erosion prone. From the results it is observed that the amount of...
Tackling Deforestation activity is not an easy task. Many approached on mapping and monitoring the change of forest cover has been actively introduced and yet the deforestation activity is still largely happens. In order to observe the deforestation activity and its natural impact on environment, a new way to serve knowledge is good approach to make more understandable information regarding on how...
Cloud and cloud shadow cover on satellite images limit remote sensing and geo-information systems (GIS) applications in all application areas, especially for change detection and time series analyses. A novel method of cloud and cloud shadow removal called Multitemporal Cloud Removal (MCR) is proposed in this paper. The method has main steps: (1) radiometric correction, (2) cloud and cloud shadow...
The Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership (SNPP) satellite uses its 14 reflective solar bands to passively collect solar radiant energy reflected off the Earth. The Level 1 product is the geolocated and radiometrically calibrated top-of-the-atmosphere solar reflectance. The absolute radiometric uncertainty associated with this product includes...
A method of decreasing the uncertainty in validating moderate resolution remotely sensed Land surface temperature (LST) was established on a heterogeneity surface in Northwest China. Two Landsat-8 images and in situ measured data were used in the paper. The LST and multiband reflectance as well as the reflectance coefficient of variation have a significant regression relation. For two Landsat-8 images,...
The primary objective of the SCMaP is to supply value added information about soils at three levels: 1) the spatial distribution of exposed soils; 2) temporal statistics of those soils; and, 3) a reflectance soil composite map. The SCMaP is designed for temperate climatic regions that comprise areas of extensive crop based agriculture where soils are commonly covered by vegetation. For the SCMaP satellite...
Leaf area index inversion using remote sensing is crucial for obtain vegetation information and monitoring global climate change. For the invalid uniform continuous canopy hypothesis of SAIL model, fractional canopy cover (FCC) is introduced and a simultaneous retrieval method of LAI and FCC is developed. SAIL model, PSO algorithm, and linear spectral mixture theory are combined in the novel method...
Mangrove forests provide a habitat for many endangered sea water-tolerant plant species and coastal fauna. Despite their ecological importance and shoreline protection properties, mangroves are under serious threat, resulting in significant losses in mangrove forest cover. Their efficient management requires frequent mapping to detect degradation or regeneration. The methodology presented in this...
The salinity of Florida Bay has been increasing for decades due to anthropogenic interventions and natural disturbances of natural sheetflow through the Everglades and adjacent natural systems. Yet little data has been gathered and geospatially analyzed. This study developed a set of multivariate hydro-spatial statistical models to predict the dry and wet season surface salinity concentrations in...
Extreme climate events are projected to increase under the context of global warming associated with the increase in greenhouse gas emissions. In particular, coastal regions which are also characterized with significant urbanization will be vulnerable to the extreme events, such as severe typhoon. Timely assessment and accurate information on the extent and severity of the damage caused by extreme...
With the assumption that spectral characteristics of coastal band (Band 1) and blue band (Band 2) of Landsat-8 were similar in a cloud-free area, an algorithm to detect thin clouds was derived. The assumption and algorithm was evaluated using Landsat-8 data of p14/r36 acquired on 1 April 2014. First, the assumed spectral similarity of Bands 1 and 2 was validated in the cloud-free area. The similarity...
We developed a simple algorithm for detecting hot spots using Sentinel-2A data, modifying a method for Landsat 8 data. The empirical hot spot detection equation was developed using apparent spectral reflectances at band 8a (0.87 μm) and band 12 (2.2 μm). Due to the improved spatial resolution, false detections often occur in inclined flat surfaces, such as roofs and solar panels. To avoid such false...
High temporal and spactial resolution aerosol retrieval is a difficult task because of the absence of corresponding satellite data. Due to the lack of a shortwave infrared band near 2.1 um aboard on Gaofen-4 instrument, which is critical for determining surface reflectance. In this paper, a new algorithm resolving the problem based on Gaofen-4 that was placed in Geosynchronous (GEO) orbit and Landsat-8...
Land surface emissivity, Land Surface Temperature (LST), and Upwelling Longwave radiation (LWUP) are critical parameters for studying the energy and water balance between the atmosphere and land surfaces. Due to the lack of reliable observations, a constant emissivity value or very simple parameterizations are adopted in land surface modeling. Retrieval of time-series dynamic surface emissivity is...
The land surface reflectance is a fundamental climate data record at the basis of the derivation of other climate data records (Albedo, LAI/Fpar, Vegetation indices) and has been recognized as a key parameter in the understanding of the land-surface-climate processes. In this presentation, we present the validation of the Land surface reflectance used for MODIS, VIIRS, Landsat 8 and Sentinel 2 data...
In hyperspectral classification, derivative of reflectance spectra is used directly or by fusion with reflectance spectra. In this way, classification performance is improved. However, on the land cover, especially for plant species, the reflectance spectra may exhibit differences in course of plant age and plant maturity level. This situation makes traditional classification methods which are based...
In this paper, a new approach is proposed for linear endmember spectra extraction from a highly mixed hyperspectral image combined with high spatial resolution multispectral data containing pure pixels. This new approach, which is applied to unmix the considered hyperspectral image, is based on a modified version of nonnegative matrix factorization (NMF) coupled with nonnegative least squares (NLS)...
Nowadays, deforestation activity still occurs despite having huge impact for human being. The different causes of deforestation are relatively brings different effect on nature, while forest fire and illegal logging are two major deforestation activities. In this paper, we proposed a new method to represent semantic analysis of deforestation effect based on its cause. We proposed idea to interpret...
Tanguar Haor undergoes a radical change in its form over the decades. This study illustrated that, about 40% land cover of the total study area has been converted. Forested and High land vegetation's are disappearing rapidly, deep water bodies consist of large lakes are becoming the rare feature of the study area. Widespread development of settlement and dominant shallow water feature are converting...
The Normalized Difference Vegetation Index was introduced for monitoring vegetation dynamics. This index can be extracted from multispectral sensor data, such as Landsat and MODIS sensors, and therefore the NDVI can be obtained with high spatial resolution but low temporal resolution when using Landsat or with high temporal resolution but low spatial resolution when using MODIS. Spatiotemporal fusion...
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