Resultados de búsqueda - Sense data.

  1. Proximal remote sensing and gross primary productivity in a temperate salt marsh por Vázquez-Lule, A., Vargas, R.

    Publicado 2023
    “…We combined multi-annual PRS data (i.e., PhenoCam, discrete hyperspectral measurements, and automated spectral reflectance sensors) with GPP derived from eddy covariance. …”
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    Journal Article
  2. Remote Sensing Dynamics for Analyzing Nitrogen Impact on Rice Yield in Limited Environments por Fita, David, San Bautista, Alberto, Castiñeira-Ibañez, Sergio, Franch, Belén, Domingo, Concha, Rubio, Constanza

    Publicado 2024
    “…Yield dependence on N was optimally evaluated and monitored with Sentinel-2 data. Two separate relationships between NIR–red and NDVI–NIR were identified, suggesting that using remote sensing data can help enhance rice crop management by adjusting nitrogen input based on plant nitrogen concentration and yield estimates. …”
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    Artículo
  3. Development of low-cost remote sensing tools and methods for supporting smallholder agriculture por Chucho Padin, Gonzalo, Loayza, Hildo, Palacios, Susan, Balcazar, Mario, Carbajal, Mariella, Quiroz, Roberto

    Publicado 2020
    “…Agricultural UAV-based remote sensing tools to facilitate decision-making for increasing productivity in developing countries were developed and tested. …”
    Enlace del recurso
    Enlace del recurso
    Artículo
  4. Development of low-cost remote sensing tools and methods for supporting smallholder agriculture por Cucho-Padin, G., Loayza, H., Palacios, S., Balcazar, M., Carbajal, M., Quiróz, R.

    Publicado 2020
    “…Agricultural UAV-based remote sensing tools to facilitate decision-making for increasing productivity in developing countries were developed and tested. …”
    Enlace del recurso
    Journal Article
  5. “Remote sensing based Information and Insurance for Crops in emerging economies” (RIICE) in Kenya por Mathieu, Renaud, Satapathy, Sushree, Raviz, Jeny, Wafula, Kelvin, Koskei, Vincent, Mwende, Faith, Aleri, David, Cattaneo, Alessandro, Gatti, Luca, Holecz, Francesco

    Publicado 2024
    “…The CGIAR Research Initiative on Digital Innovation and Transformation (WP4) seeks to improve real time monitoring of food system dynamics to inform multiple stakeholders who make time critical decisions to respond to variation and shocks, improve the flow of information for a better understanding of the food systems, and enhance digital data streams for improving decision making by food system actors. …”
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    Informe técnico
  6. WATPRO: a remote sensing based model for mapping water productivity of wheat por Zwart, Sander J., Bastiaanssen, Wim G.M., Fraiture, Charlotte de, David, S.

    Publicado 2010
    “…This paper describes the development and validation of a WATer PROductivity (WATPRO) model for wheat that is based on remote sensing-derived input data sets, and that can be applied at local to global scales. …”
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    Journal Article
  7. Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia por Bekele, T. W., Negash, E. D., Asfaw, W., Haile, Alemseged Tamiru

    Publicado 2024
    “…We used Sentinel-1 Synthetic Aperture Radar (S-1 SAR) data to detect flood but Sentinel-2 (S-2) optical satellite data to classify land cover by applying a machine learning algorithm. …”
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    Journal Article
  8. Review of Applications of Remote Sensing towards Sustainable Agriculture in the Northern Savannah Regions of Ghana por Moomen, Abdul-Wadood, Yevugah, Lily Lisa, Boakye, Louvis, Osei, Jeff Dacosta, Muthoni, Francis K.

    Publicado 2024
    “…This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions of Ghana for three decades (1990–2023). …”
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    Journal Article
  9. Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru por Arce Inga, Marielita, Atalaya Marin, Nilton, Barboza Castillo, Elgar, Tarrillo Julca, Ever, Chuquibala Checan, Beimer, Tineo Flores, Daniel, Fernandez Zarate, Franklin Hitler, Cruz Luis, Juancarlos Alejandro, Goñas Goñas, Malluri, Gómez Fernández, Darwin

    Publicado 2024
    “…In this study, soil degradation in Jaén and San Ignacio was assessed via a multicriteria evaluation approach combined with remote sensing (RS) data. Nine factors were analyzed classified three categories: environmental, topographic, and edaphological factors. …”
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    Artículo

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