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The Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the Global Change Observation Mission — Water (GCOM-W or “SHIZUKU”) was launched on May 18, 2012 (JST), and continuous its observation from the ATrain orbit more than one year successfully. Validation results of AMSR2 standard products satisfied required release accuracy, and JAXA has released AMSR2 geophysical parameters to public though...
In this paper, we show the application of a coherent model on a tropical forest for studying the backscattering coefficient. The study site is located at southern Mexico. The radar configuration considered is C-band, full polarization and the range of incidence angle is the 20°–50°. As from result obtained we applied the linear regression for a build a simplified model.
Geospatial database items originate from the analysis of images and from the manipulation of geographic data. The corresponding datasets are described via diverse structures of metadata. GeoBase L9 is a project whose aim is to build a geospatial database to support geomatics research in agricultural and natural resource management. The first objective, to support basic browsing access to datasets,...
The objective of the project reported in this paper was to study land use change over a period of 23 years using Landsat satellite images using a methodology based on territorial transformation. An analysis of land use change was realized from 1997 to 2000 in the municipality of Texcoco in Central Mexico. The analysis unit was determined by landscape, since modifications that have taken place over...
Compact agricultural areas in Mexico have been identified, which are monitored as to their behavior concerning production and rural productivity in a network of Agrotech Observatories (AOTs). An AOT is a compact agricultural area representative of agro-ecological, technological and social conditions in the country. A multidisciplinary team of scientists and researchers analyze and define the best...
The project discusses the function of the instrument SOFIE from NASA's Satellite Mission Aeronomy of Ice in the Mesosphere. To understand its function, it is explained what the noctilucent clouds are, how they form and how the sensor studies and measures their properties. It is presented a differential equation for some of the variables that are involved in this mission using the data provided by...
We address a new approach for enhanced microwave remote sensing (RS) imaging via performing the imaging system kernel point spread function (PSF) operator refinement-based multi-scale iterative reconstructive (MSIR) image post-processing, as required for emerging feature enhanced RS missions. The high-resolution (HR) image is first reconstructed from the initial low-resolution (LR) image employing...
Contamination is a growing problem affecting irrigation water. The objective of this research was to evaluate the effect of two sources of irrigation water, clean one and sewage; and organic matter on the association with Glomus intrarradices on beans (Phaseolus vulgaris L.). Sixteen soil sample wells were located using GPS in a digital orthopicture from the Mexican Institute of Geography and informatics...
Aerosols play an important role in global climate change. [Reference new IPCC report]. These particles directly affect the radiative budget due to absorption and scattering of radiation. Additionally, aerosols are known to alter various ecosystems, cloud formation and properties, precipitation, air quality and visibility. They also have well-documented impacts on human health. In the last 30 years,...
An intelligent post-processing computational paradigm based on the use of dynamical filtering techniques modified to enhance the quality of reconstruction of remote sensing signatures based on SPOT-5 imagery is proposed. As a matter of particular study, a robust algorithm is reported for the analysis of the dynamic behavior of geophysical indexes extracted from remotely sensed scenes. Simulations...
This work aims to development of a simple method for distinction between open water and ice cover on the base of geophysical data record (GDR) of altimetry satellite Jason-2 for large and middle-sized freshwater inland water bodies. The method is applied for six reservoirs at the Volga and Don Rivers. It was shown earlier [1, 2] that the retracking of the Jason-1, 2 satellite data allow us to determine...
The prediction of monthly mean discharge is critical for water resources management. Statistical methods applied on discharge time series are traditionally used for predicting this kind of slow response hydrological events. With this paper we present a Support Vector Regression (SVR) system able to predict monthly mean discharge considering discharge and snow cover extent (250 meters resolution obtained...
This study presents three complementary approaches to determine the volume of water in small lakes (<100ha) by combining satellite altimetry data and high-resolution (HR) images. The first two are empirical and use synchronous ground measurements of the water volume and the satellite data. The results demonstrate that altimetry and imagery can be effectively and accurately used to monitor the temporal...
Waveform decomposition is a necessary step for the exploitation of full waveform LiDAR data. Much effort has been focused on designing algorithms to decompose the waveform into a fixed number of components. However, the determination of the appropriate number of components in a waveform, though crucial, is rarely studied. This paper introduces an order identification method, Minimum Description Length...
Airborne Laser Scanning systems with LiDAR technology have been used for acquiring 3D point data of the ground. The capability of LiDAR systems to record the intensity of the backscattered energy added value to the classification of LiDAR data. From pattern recognition research, combined multiple classifiers (CMC) improves the accuracy of the image classification. This paper aims at developing an...
Point-cloud registration plays a significant role in the area of mobile LiDAR data processing. This paper proposes an automatic markerless registration algorithm for lidar point-clouds. It first introduces a local feature for point-cloud representation. The feature is invariant to rotations and translations of a point-cloud. It then presents a point-cloud registration method using geometric consistency...
Observations from satellite lidar instruments have provided evidence in the remarkable changes in polar ice sheets on a global scale. The Ice, Cloud and land Elevation Satellite-2 (ICESat-2) is scheduled for launch by NASA in 2017 and will monitor the elevation changes of polar ice sheets and vegetation canopy. To validate ICESat-2's approach of photon-counting laser altimetry, measurements obtained...
In this paper, the fusion of hyperspectral and Li-DAR data is taken into account in order to develop a new classification framework for the accurate analysis of urban areas. In this method, an attribute profile is considered in order to model the spatial information of LiDAR and hyper-spectral data. In parallel, in order to reduce the redundancy of the hyperspectral data and address the so-called...
In this paper, a sensor-driven domain adaptation method is proposed for the classification of remote sensing images. The method aims at classifying an image where ground truth is not available exploiting the reference data acquired on a different but related image. This is done by taking advantage from a sensor-driven strategy that exploits the invariance of the measurements of some sensors on some...
We report a RF and IR data-integration strategy based on a probabilistic (or a distribution) model. At the heart of our approach is the ability to extract the probability density functions (pdfs) from the sensed dataset for RF and IR respectively followed by the detection or target identification process based on posterior fusion (i.e., the product of individual pdfs) and Bayesian decision process...
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