Resultados de búsqueda - "Sense data."

  1. Water productivity mapping (WPM) using Landsat ETM+ data for the irrigated croplands of the Syrdarya River Basin in Central Asia por Platonov, Alexander, Thenkabail, Prasad S., Biradar, Chandrashekhar M., Xueliang Cai, Gumma, Murali K., Dheeravath, Venkateswarlu, Cohen, Y., Alchanatis, V., Goldshlager, N., Ben-Dor, E., Vithanage, Jagath, Manthrithilake, Herath, Kendjabaev, S., Isaev, S.

    Publicado 2008
    “…The overarching goal of this paper was to espouse methods and protocols for water productivity mapping (WPM) using high spatial resolution Landsat remote sensing data. In a world where land and water for agriculture are becoming increasingly scarce, growing "more crop per drop? …”
    Enlace del recurso
    Journal Article
  2. Incorporating Satellite Data Into Weather Index Insurance por Black, Emily, Greatrex, Helen, Young, Matthew, Maidment, Ross I.

    Publicado 2016
    “…What: Twenty-three people from six countries came together to discuss how drought insurance based on remotely sensed data can reduce the impact of weather shocks on some of the poorest people in the world. …”
    Enlace del recurso
    Journal Article
  3. Characterizing degradation of palm swamp peatlands from space and on the ground: An exploratory study in the Peruvian Amazon por Hergoualc'h, Kristell, Gutiérrez Vélez, Victor Hugo, Menton, Mary, Verchot, Louis V.

    Publicado 2017
    “…Results from this pilot analysis are encouraging to further explore the use of remote sensing data and methods for monitoring dense PS degradation at broader scales in the Peruvian Amazon. …”
    Enlace del recurso
    Journal Article
  4. Multi-temporal passive and active remote sensing for agricultural mapping and acreage estimation in context of small farm holds in Ethiopia por Mengesha, Tesfamariam Engida, Desta, Lulseged Tamene, Gamba, Paolo, Ayehu, Getachew Tesfaye

    Publicado 2024
    “…The findings demonstrate the remarkable potential of multi-source remotely sensed data in agricultural acreage estimation in small farm holdings. …”
    Enlace del recurso
    Journal Article
  5. Forest cover change analysis as a proxy: sustainability assessment using remote sensing and GIS in West Kalimantan, Indonesia por Dennis, R.A., Colfer, C.J.P., Puntodewo, A.

    Publicado 2001
    “…This study used a time series of remote sensing data from 1973, 1990 and 1994 to assess sustainability of forest use in three villages in West Kalimantan, Indonesia. …”
    Enlace del recurso
    Capítulo de libro
  6. Linking process-based potato models with light reflectance data: Does model complexity enhance yield prediction accuracy? por Quiróz, R., Loayza, H., Barreda, C., Gavilán, C., Posadas, A., Ramírez, D.

    Publicado 2017
    “…Our study suggests that the incorporation of remotely sensed data in models with different temporal resolution and level of complexity improves yield prediction in potato.…”
    Enlace del recurso
    Journal Article
  7. Mapping the spatial and temporal extent of floods in South Asia por CGIAR Research Program on Climate Change, Agriculture and Food Security

    Publicado 2014
    “…In the past, many studies were carried out in South Asia to investigate the hydrologic behaviour of the fl oods and post-flood event mapping using remote-sensing data. However, large-scale systematic monitoring of floods both spatially and temporally covering the whole of South Asia has been very limited.…”
    Enlace del recurso
    Brochure
  8. A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes por Sello, Mario Eugenio, Maddio, Rafael Adrian, Hurtado, Santiago Ignacio, Castillo, Daniel Alejandro, Perri, Daiana Vanesa, Bruzzone, Octavio Augusto, Easdale, Marcos Horacio

    Publicado 2024
    “…This study aimed to compare and evaluate the complementarity of information between two classification systems based on: (a) vegetation productivity dynamics derived from remote sensing data, which we have termed Rangeland Functional Archetypes, and (b) geomorphological features and field data at a farm level. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Artículo
  9. Irrigation technologies and management and their environmental consequences: Empirical evidence from Ethiopia por Bekele, Rahel Deribe, Mekonnen, Dawit Kelemework, Ringler, Claudia, Jeuland, Marc

    Publicado 2024
    “…We use a unique and comprehensive household and plot-level dataset covering ten districts of Ethiopia complemented with remotely sensed data and qualitative information collected from the study sites. …”
    Enlace del recurso
    Journal Article
  10. Satellite-based tracking of agricultural adaptation progress por Reymondin, Louis, Golden, Aaron, Spillane, Charles

    Publicado 2022
    “…To this end, we piloted a new approach, the Biomass Climate Adaptation Index (Biomass CAI), for measuring agricultural adaptation progress in Ethiopia across multiple scales using satellite remote sensing data. The Biomass CAI can monitor agri-biomass productivity associated with adaptation interventions remotely and facilitate more tailored precision adaptation. …”
    Enlace del recurso
    Informe técnico
  11. Time Series Application for Evapotranspiration and NDVI in Ucayali, Peru and Acre, Brazil por Galati, Valerie

    Publicado 2021
    “…This app utilizes the capabilities of Google Earth Engine to easily pull, visualize, and plot remotely sensed data in a user-friendly application. Users can choose from preloaded spatial data, draw a shape, or upload their own data to visualize and plot time series within an area of interest. …”
    Enlace del recurso
    Conjunto de datos
  12. A comparison of global mangrove maps: Assessing spatial and bioclimatic discrepancies at poleward range limits por Ximenes, Arimatéa C., Cavanaugh, Kyle C., Arvor, Damien, Murdiyarso, Daniel, Thomas, Nathan, Arcoverde, Gustavo F.B., Conceição Bispo, Polyanna da, Stocken, Tom van der

    Publicado 2023
    “…There are multiple mangrove distribution datasets, which were derived from different remote sensing data and classification methods, and so there are some discrepancies among these datasets, especially with respect to the locations of their range limits. …”
    Enlace del recurso
    Journal Article
  13. Enhancing the water accounting plus framework to evaluate field-level water use and availability in rice-dominant cropping system and potential for mapping GHG emissions at scale:... por Mahapatra, Smaranika, Velpuri, Naga Manohar, Schmitter, Petra S., Pandey, Shivam, Sikka, Alok

    Publicado 2024
    “…The new framework – Paddy WA+, uses high-resolution remote sensing data (at 30 m), improved runoff, and percolation estimation routines to track water use in the rice paddy fields. …”
    Enlace del recurso
    Informe técnico
  14. In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling: A systematic literature review por Xiong, Wei

    Publicado 2022
    “…Previous studies have proposed models for estimating canopy state variables and soil properties based on remote sensing data and assimilating these estimated canopy state variables into crop models. …”
    Enlace del recurso
    Artículo preliminar
  15. Food System Monitoring navigating a data-driven future (WP4): Webniar por Jimenez, Daniel, Garcia, Gustavo, Castillo, Johana M., Manners, Rhys, Storr, Samuel

    Publicado 2023
    “…Digital tools like phone surveys, remote sensing data, and government data through web platforms enable the collection of more precise data, allowing for the identification of patterns and trends, predictive analytics, and early warning systems. …”
    Enlace del recurso
    Ponencia

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