Resultados de búsqueda - Sense data.

Coupling remote sensing and hydrological model for evaluating the impacts of climate change on streamflow in data-scarce environment por Akhtar, F., Awan, Usman Khalid, Borgemeister, C., Tischbein, B.

“…Most of the biophysical parameters required for the SWAT model were derived from remote sensing-based algorithms. The SUFI-2 technique was used for calibrating and validating the SWAT model with streamflow data. …”
Enlace del recurso

Advances in visual predictions of poverty and malnutrition using free, open-access remote sensing data and tools por CGIAR Research Program on Policies, Institutions, and Markets

Materias: “…remote sensing…”
Enlace del recurso

Land cover mapping of Bengaluru's urban and surrounding area with Spatiotemporal open-source remote sensing data por Grison, Sylvain, Siddaganga, Rajath, Singh, Renu, Hegde, Shrihari, Brockmann, Axel, Krishnan, Smitha, Guo, Wei

Materias: “…remote sensing…”
Enlace del recurso

Mapping crop water productivity in the Nile Basin through combined use of remote sensing and census data por Karimi, Poolad, David, S., Bastiaanssen, Wim G.M.

Materias: “…data…”
Enlace del recurso

Development of an epidemic forecasting system for malaria in Sri Lanka by monitoring remotely sensed soil moisture data por Gunawardena, Dissanayake M.

Enlace del recurso

Development of an open source tool to analyze Vegetation Index from Remote Sensing data: Internship report por Frelat, Romain

Enlace del recurso

Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing por Lembrechts, Jonas Johan, Lenoir, Jonathan, Roth, Nina, Hattab, Tarek, Milbau, Ann, Haider, Sylvia, Pellissier, Loïc, Pauchard, Aníbal, Ratier Backes, Amanda, Dimarco, Romina Daniela, Núñez, Martín Andrés, Aalto, Juha, Nijs, Ivan

Enlace del recurso
Enlace del recurso
Enlace del recurso

Predicting yields using biophysical crop simulations, machine learning and remote sensing in India por CGIAR Platform for Big Data in Agriculture

Materias: “…remote sensing…”
Enlace del recurso

Case study of use of different source of imageries and data fusion por Cardoso Arango, Juan Andrés, Louhaichi, Mounir

Materias: “…data collection…”
Enlace del recurso

Tracking the magnitude of climate change and variability with remote sensing data to improve targeting of climate smart agricultural technologies por Muthoni, Francis K.

Materias: “…data analysis…”
Enlace del recurso

Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production por CGIAR Research Program on Wheat

Materias: “…data…”
Enlace del recurso

Drone imaging and remote sensing data to identify mosquito breeding sites and heterogeneity in local transmission risks in Kenya por CGIAR Research Program on Agriculture for Nutrition and Health

Materias: “…remote sensing…”
Enlace del recurso

Mapping irrigated areas of Ghana using fusion of 30 m and 250 m resolution remote-sensing data por Gumma, Murali Krishna, Thenkabail, Prasad S., Hideto, Fujii, Nelson, Andrew, Dheeravath, Venkateswarlu, Busia, Dawuni, Rala, Arnel

“…The goal of this research was to map irrigated agricultural areas and explain methods and protocols using remote sensing. Landsat Enhanced Thematic Mapper (ETM+) data and time-series Moderate Resolution Imaging Spectroradiometer (MODIS) data were used to map irrigated agricultural areas as well as other land use/land cover (LULC) classes, for Ghana. …”
Enlace del recurso

Regional characterization of inland valley agroecosystems in West and Central Africa using high-resolution remotely sensed data por Thenkabail, Prasad S., Nolte, C.

Enlace del recurso

Mapping basin level water productivity using remote sensing and secondary data in the Karkheh River Basin, Iran por Ahmad, Mobin-ud-Din, Islam, Aminul, Masih, Ilyas, Muthuwatta, Lal P., Karimi, Poolad, Turral, Hugh

“…For analysis from sub-catchment to basin scale, we assessed economic WP, in terms of gross value of production per unit of actual evapotranspiration, for all agricultural enterprises including rainfed and irrigated agriculture, livestock production and overall vegetation production using remote sensing data and routine secondary data/agricultural statistics. …”
Enlace del recurso

Mapping basin-level water productivity using remote sensing and secondary data in the Karkheh River Basin, Iran por Ahmad, Mobin-ud-Din, Islam, Aminul, Masih, Ilyas, Muthuwatta, Lal P., Karimi, Poolad, Turral, Hugh

Enlace del recurso

Water productivity mapping using remote sensing data of various resolutions to support more crop per drop por Xueliang Cai, Thenkabail, Prasad S., Biradar, Chandrashekhar M., Platonov, Alexander, Gumma, Murali K., Dheeravath, Venkateswarlu, Cohen, Y., Goldlshleger, F., Ben-Dor, E., Alchanatis, V., Vithanage, Jagath, Anputhas, Markandu

“…The overarching goal of this research was to map crop water productivity using satellite sensor data at various spectral, spatial, radiometric, and temporal resolutions involving: (a) Moderate Resolution Imaging Spectroradiometer (MODIS) 500m, (b) MODIS 250m, (c) Landsat enhanced thematic mapper plus (ETM+) 60m thermal, (d) Indian Remote Sensing Satellite (IRS) 23.5 m, and (e) Quickbird 2.44 m data. …”
Enlace del recurso

Technical implications of land monitoring projects using remote sensing data in Central America for natural resource management por Bolaños, S., Oberthür, Thomas

Enlace del recurso

The operational role of remote sensing in forest and landscape management: Focus group discussion proceedings por Takao, G., Priyadi, H., Ikbal Nursal, W

Materias: “…remote sensing…”
Enlace del recurso

Remote sensing monitoring of land restoration interventions in semi-arid environments with a before–after control-impact statistical design por Meroni, M., Schucknecht, Anne, Fasbender, D., Rembold, F., Fava, Francesco P., Mauclaire, M., Goffner, D., Lucchio, L.M. Di, Leonardi, U.

“…We propose a semi-automatic methodology that uses remote sensing data to provide a rapid, standardised and objective assessment of the biophysical impact, in terms of vegetation cover, of restoration interventions. …”
Enlace del recurso