Results 1 to 10 of about 1,949,915 (291)

Harmonized Landsat and Sentinel-2 Data with Google Earth Engine

Remote Sensing
Continuous and dense time series of satellite remote sensing data are needed for several land monitoring applications, including vegetation phenology, in-season crop assessments, and improving land use and land cover classification.
Elias Fernando Berra, Denise Cybis Fontana, Feng Yin, Fabio Marcelo Breunig   +3 more
doaj   +3 more sources

BRAZILIAN MIDWEST NATIVE VEGETATION MAPPING BASED ON GOOGLE EARTH ENGINE [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Google Earth Engine (GEE) platform is an online tool, which generates fast solutions in terms of image classification and does not require high performance computers locally.
N. V. Estrabis, L. Osco, A. P. Ramos, W. N. Gonçalves, V. Liesenberg, H. Pistori, J. Marcato Junior   +6 more
doaj   +1 more source

Satellite-Based Crop Typology Mapping with Google Earth Engine

Engineering Proceedings
Crop classification plays a pivotal role in agricultural remote sensing, offering critical insights into planting areas, growth monitoring, and yield evaluation.
Alapati Renuka, Manne Suneetha, Prathipati Vasavi   +2 more
doaj   +1 more source

Pemetaan Perubahan Lahan Sawah Kabupaten Sukabumi Menggunakan Google Earth Engine

Tataloka, 2022
Google Earth Engine (GEE) merupakan layanan pemrosesan geospasial yang telah banyak digunakan di berbagai bidang pemetaan. Tujuan penelitian ini adalah  identifikasi perubahan lahan sawah Kabupaten Sukabumi menggunakan GEE.
Widia Siska, Widiatmaka Widiatmaka, Yudi Setiawan, Setyono Hari Adi   +3 more
doaj   +1 more source

Collect Earth: Land Use and Land Cover Assessment through Augmented Visual Interpretation

Remote Sensing, 2016
Collect Earth is a free and open source software for land monitoring developed by the Food and Agriculture Organization of the United Nations (FAO). Built on Google desktop and cloud computing technologies, Collect Earth facilitates access to multiple ...
Adia Bey, Alfonso Sánchez-Paus Díaz, Danae Maniatis, Giulio Marchi, Danilo Mollicone, Stefano Ricci, Jean-François Bastin, Rebecca Moore, Sandro Federici, Marcelo Rezende, Chiara Patriarca, Ruth Turia, Gewa Gamoga, Hitofumi Abe, Elizabeth Kaidong, Gino Miceli   +15 more
doaj   +1 more source

Análisis espaciotemporal de la deforestación en el campus mutile (2005-2023) usando Google Earth Engine

Revista GICOS
Este estudio analiza la deforestación en el campus Mutile de la Universidad Técnica Luis Vargas Torres entre 2005 y 2023, utilizando imágenes satelitales procesadas con Google Earth Engine (GEE).
Diego Camilo Martínez Martínez, Raúl Alfonso Camacho Marín, Borys Armando Bautista Garnica, Israel Patricio Vega Macias   +3 more
doaj   +1 more source

Comparación de Índices de Vegetación con imágenes Landsat usando la computación en la nube: zona Pampa de Majes-Siguas, Arequipa Perú (Periodo: Jun 1984 a Nov 2018)

Revista de Investigación de Física, 2019
El objetivo del presente trabajo fue la obtención de índices de vegetación usando las imágenes satelitales Landsat en el tope de la atmosfera (TOA). La extensión de inuencia del Proyecto Especial Autoridad del Majes (AUTODEMA), que abarca las Pampas de ...
Carlos Alvarado, Alexander Leandro, Douglas Sarango   +2 more
doaj   +1 more source

Quality monitoring of inland water bodies using Google Earth Engine

Journal of Hydroinformatics, 2023
Regular quality monitoring of inland water bodies is vital for identifying the areas with deteriorating water quality. Satellite remote sensing has been used for obtaining long-term trends that require the processing of many images.
P. Y. Sherjah, N. Sajikumar, P. T. Nowshaja   +2 more
doaj   +1 more source

Detecção de queimadas agrícolas no Estado do Acre através do GEE e QGis

Biodiversidade Brasileira, 2019
Este estudo visou testar quatro classificadores supervisonados para mapeamento de cicatrizes de queimadas agropecuárias, avaliando a razão tempo-qualidade acuracia.
Sonaira Souza da Silva, Francisco Salatiel Clemente de Souza, Philip M. Feanrside, Tiago Lucena da Silva   +3 more
doaj   +3 more sources

Analisis Perubahan Tutupan Lahan Menggunakan Algoritma CART untuk Evaluasi Kesesuaian Lahan Terhadap RTRW Kabupaten Tangerang

Rekayasa Hijau: Jurnal Teknologi Ramah Lingkungan
ABSTRAK Kabupaten Tangerang mengalami pertumbuhan penduduk pesat yang mendorong perubahan tutupan lahan. Rencana Tata Ruang Wilayah (RTRW) 2020 digunakan sebagai panduan pemanfaatan lahan, dengan klasifikasi utama: lahan terbangun, badan air, vegetasi ...
Gheo Damai Ramadhan, Hary Nugroho
doaj   +1 more source