Search results for " sensing"

Remote Sensing applications in archaeology

2011

In recent years Remote Sensing applications in archaeology have become increasingly frequent. This plurality of applications depends mostly on the rising interest of the scientific community in modern methods for surveying geographic data, which have become increasingly powerful, automatic and reliable. Remote Sensing, with its various techniques, offers the rapid acquisition of a huge quantity of metric and qualitative data in order to describe or to identify archaeological sites. For an appropriate and widespread use of these data, it is still necessary to have recourse to GIS techniques; as a matter of fact, only the combined use of both methodologies provides a full exploitation of thei…

Improvement of snow physical parameters retrieval using SAR data in the Arctic (Svalbard)

2018

International audience; Arctic snow cover dynamics offer a changing face in terms of temporal duration andwater equivalent, due to recent climate change conditions (Callaghan et al., 2011; Lemke & Jacobi,2012). Indeed, the Arctic is now experiencing some of the most rapid and severe climate change onearth. In this context, innovative and improved methods are helpful to enhance management of thesnow-pack resource for climate research, hydrology and human activities. The characteristics of Arcticsnow are different from “temperate” snow (i.e. the Alps), in terms of thickness, internal structure, thermalconductivity, and metamorphism. Ground observation often indicates wind slab at the snow sur…

Remote sensing data for crop yield in CONUS

2023

I) SUMMARY This database contains harmonized time series for the study of crop yields using remote sensing data and meteorological data. We collected information on soybean, corn, and wheat yields (t/ha) over the CONUS (continuous US) from USDA-NASS for years 2015–2018 at a county level, and collocated time series for the following variables: Enhanced Vegetation Index (EVI) from MODIS satellite (MOD13C1 v6 product) Soil Moisture (SM) from SMAP satellite through MT-DCA algorithm Vegetation Optical Depth (VOD) from SMAP satellite through MT-DCA algorithm Maximum temperature (TMAX) from Daymet v3 Precipitation (PRCP) from Daymet v3 II) CONTACT For questions, please email Laura Mart&iacut…

Estudio de las Medidas Radiométricas realizadas desde satélites artificiales : Aplicación a la Agrometeorología

1983

SPIE Proceedings Vol. 8538 Earth Resources and Environmental Remote Sensing/GIS Applications III

2012

These proceedings contain 53 papers that were presented at the SPIE Conference “Earth Resources and Environmental Remote Sensing/GIS Applications” (Conference 8538A) formerly known under the title ‘Remote Sensing for Environmental Monitoring, GIS Applications, and Geology’. The Conference took place in Edinburgh, United Kingdom from 24 September to 27 September 2012. It was the twelfth Conference with this topic after its inauguration in Toulouse, France, in 2001. The Conference sessions with presented papers and interactive posters were grouped into the following themes: Processing Methodologies, Hazard Mitigation Geologic Application, Processing Methodologies, Infrastructures and Urban Ar…

EDITORIAL FOR SPECIAL ISSUE: “GEOMATICS APPLICATION FOR GEOGRAPHY (GAG)” in GEOGRAPHIA TECHNICA

2021

Geomatics or Geography, that is the question! This is how the authors' idea of merging Geomatics and Geography in this special issue begins, paraphrasing a Shakespearean citation. The common principle that unites these two scientific disciplines, which attempt to describe the territory in the most straightforward way possible. On the other hand, Geomatics and Geography derived from “gèo- “[greek γεω-], as first element of composed words in learned and scientific terminology, meaning “earth”, “globe”, “land surface”.

Remote Sensing of Photoplethysmogram using Multi Spot Illumination

2018

The ability to remotely extract Photoplethysmogram (PPG) signals is of great interest. A novel approach to overcome motion related noise, based on a multi spot pattern was experimentally demonstrated. Improvement of PPG signal is presented.

Advances in the Retrieval and Interpretation of Solar-Induced Vegetation Chlorophyll Fluorescence Using Passive Remote Sensing Techniques

2021

In the context of the development and implementation of the Fluorescence Explorer (FLEX) mission, selected in 2015 by the European Space Agency (ESA) as the 8th Earth Explorer, many recent developments in the field of vegetation chlorophyll fluorescence have taken place in the last years. These advances include new retrieval approaches, more accurate and robust, and a much better understanding of the variability of the signal, facilitating the interpretation of the dynamical changes and the usage of the fluorescence signal in Earth models and applications. Although chlorophyll fluorescence is related to the actual photosynthetic activity of the plants, the link between fluorescence and phot…

Combining the FAO56 agrohydrological model and remote sensing data to assess water demand in a Sicilian irrigation district

2020

<p>Agricultural water use in irrigated areas plays a key role in the Mediterranean regions characterized by semi-arid climate and water shortage. In the face of optimizing irrigation water use, farmers must revise their irrigation practices to increase the drought resilience of agricultural systems and to avoid severe damages in agro-ecosystems. In this direction, during the last decades, the research has been focused on mathematical models to simulate the process of driving mass transport and energy exchanges in the Soil-Plant-Atmosphere system.</p><p>The objective of the paper was to test the suitability of the combination of FAO56 agro-hydrologi…

Kernel Spectral Angle Mapper

2016

This communication introduces a very simple generalization of the familiar spectral angle mapper (SAM) distance. SAM is perhaps the most widely used distance in chemometrics, hyperspectral imaging, and remote sensing applications. We show that a nonlinear version of SAM can be readily obtained by measuring the angle between pairs of vectors in a reproducing kernel Hilbert spaces. The kernel SAM generalizes the angle measure to higher-order statistics, it is a valid reproducing kernel, it is universal, and it has consistent geometrical properties that permit deriving a metric easily. We illustrate its performance in a target detection problem using very high resolution imagery. Excellent re…