Resultados de búsqueda - "Earth"

  1. Mapping plant functional types in Northwest Himalayan foothills of India using random forest algorithm in Google Earth Engine por Srinet, R., Nandy, S., Padalia, H., Ghosh, Surajit, Watham, T., Patel, N. R., Chauhan, P.

    Publicado 2020
    “…Plant functional types (PFTs) have been widely used to represent the vegetation characteristics and their interlinkage with the surrounding environment in various earth system models. The present study aims to generate a PFT map for the Northwest Himalayan (NWH) foothills of India using seasonality parameters, topographic conditions, and climatic information from various satellite data and products using Random Forest (RF) algorithm in Google Earth Engine (GEE) platform. …”
    Enlace del recurso
    Journal Article
  2. A machine learning algorithm for mapping small reservoirs using Sentinel-2 satellite imagery in Google Earth Engine por Siabi, Ebenezer K., Akpoti, Komlavi, Zwart, Sander J.

    Publicado 2023
    “…This report outlines an advanced methodology for mapping small reservoirs in Northern Ghana, utilizing Sentinel-2 satellite imagery and Google Earth Engine. Aimed at enhancing mapping accuracy by reducing cloud contamination, the method filters image collections, applies optimal cloud masks, and composes cloudless images. …”
    Enlace del recurso
    Informe técnico
  3. Investigation of aquaculture dynamics at a Ramsar site, using earth observation systems in conjunction with a socio-economic assessment por Nagabhatla, Nidhi, Pattnaik, C., Senaratna Sellamuttu, Sonali, Prasad, N., Wickramasuriya, R., Finlayson, C. Max

    Publicado 2009
    “…Attention is drawn to the potential of utilizing earth resources systems in exploring space-time interactions in freshwater ecosystems heavily modified through aquaculture interventions. …”
    Enlace del recurso
    Journal Article
  4. Cover and land use changes in the dry forest of Tumbes (Peru) using sentinel-2 and google earth engine data por Barboza Castillo, Elgar, Salazar Coronel, Wilian, Gálvez Paucar, David, Valqui Valqui, Lamberto, Saravia Navarro, David, Gonzales, Jhony, Aldana, Wiliam, Vásquez Pérez, Héctor Vladimir, Arbizu Berrocal, Carlos Irvin

    Publicado 2023
    “…The objective of this study was to identify the dynamics of LULC changes and the factors associated with the transformations of the dry forest in the Tumbes region (Peru) using Google Earth Engine (GEE). For this, the annual collection of Sentinel 2 (S2) satellite images of 2017 and 2021 was analyzed. …”
    Enlace del recurso
    Enlace del recurso
    Objeto de conferencia
  5. Analytical hierarchy process tool in Google Earth Engine platform: a case study of a tropical landfill site suitability por Bhattacharya, S., Ghosh, Surajit, Bhattacharyya, S.

    Publicado 2022
    “…A user interface (UI)–based analytical hierarchy process (AHP) tool has been developed within the Google Earth Engine (GEE) cloud platform to find out the alternative dumping sites using geospatial layers. …”
    Enlace del recurso
    Journal Article
  6. User Manual: Google earth engine script for semi-automated mapping of small reservoirs using sentinel-2 satellite imagery por Amponsah, Mary, Zwart, Sander J., Akpoti, Komlavi

    Publicado 2022
    “…This user manual describes the methodology to be followed to use the Google Earth engine script for semi-automated mapping of small reservoirs using Sentinel-2 satellite imagery. …”
    Enlace del recurso
    Manual
  7. Ecuador's Ministry of Environment, Water and Ecological Transition is using the Collect Earth Online tool to improve forest monitoring data accuracy por Fernandes, Jose, Álvarez, Sophie

    Publicado 2023
    “…Ecuador’s Ministry of Environment, Water and Ecological Transition (MAATE) is using a Collect Earth Online through a service co-developed with EcoCiencia and SERVIR-Amazonia (an Alliance – led regional program) to improve forest monitoring data accuracy in the Ecuadorian Amazon and to validate National Monitoring System maps and land cover estimates. …”
    Enlace del recurso
    Case Study
  8. An analysis of the rice-cultivation dynamics in the lower Utcubamba river basin using SAR and optical imagery in Google Earth Engine (GEE) por Medina Medina, Angel James, Salas López, Rolando, Zabaleta Santisteban, Jhon Antony, Tuesta Trauco, Katerin Meliza, Turpo Cayo, Efrain Yury, Huaman Haro, Nixon, Oliva Cruz, Manuel, Gómez Fernández, Darwin

    Publicado 2024
    “…An algorithm was developed on the Google Earth Engine (GEE) virtual platform for the classification of the Sentinel-1 and Sentinel-2 images and a combination of both, the result of which was improved in ArcGIS Pro software version 3.0.1 using a spatial filter to reduce the “salt and pepper” effect. …”
    Enlace del recurso
    Enlace del recurso
    Artículo
  9. Identificación de zonas afectadas por sales en el Centro Sur de Córdoba usando Google Earth Engine por Gentili, Nicolás, Bocco, Joaquín, Micheloud, Elizabeth, Videla Mensegue, Horacio Rogelio, Córdoba, Mariano

    Publicado 2024
    “…Se trabajó con dos bases de datos de diferentes años, e imágenes satelitales de la plataforma Google Earth Engine. Con estos se elaboró un modelo de predicción de la salinidad superficial para toda la cuenca, el cual se lo evaluó para los diferentes ciclos de humedad. …”
    Enlace del recurso
    Conferencia
  10. Spatial drought occurrences and distribution using VCI, TCI, VHI, and Google Earth Engine in Bilate River Watershed, Rift Valley of Ethiopia por Burka, A., Biazin, B., Bewket, W.

    Publicado 2024
    “…This research aimed to assess the occurrence and distribution of drought in the Bilate River Watershed (BRW) using the Vegetation Health Index (VHI), Vegetation Condition Index (VCI), and Temperature Condition Index (TCI), along with the Google Earth Engine platform. Vegetation products (MOD13Q1) and LST products (MOD11A2) were selected from May to October each year, covering the period from 2000 to 2022. …”
    Enlace del recurso
    Journal Article

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