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Globalne segmenty CCDC na podstawie zdjęć Landsat (1999–2019)
Ta kolekcja zawiera wyniki wstępnie obliczone na podstawie algorytmu ciągłego wykrywania i klasyfikacji zmian (CCDC) na podstawie danych o odblasku powierzchni z 20 lat misji Landsat. CCDC to algorytm wyszukiwania punktów przełamania, który do wykrywania punktów przełamania w danych ciągów czasowych wykorzystuje dopasowanie harmoniczne z dynamicznym wartością progową RMSE. … change-detection google landcover landsat-derived landuse landuse-landcover -
JRC Global Surface Water Mapping Layers, v1.4
Ten zbiór danych zawiera mapy lokalizacji i rozkładu czasowego powierzchni wody w latach 1984–2021 oraz statystyki dotyczące rozległości i zmian tych powierzchni. Więcej informacji znajdziesz w powiązanym artykule w czasopiśmie: High-resolution mapping of global surface water and its … change-detection geophysical google jrc landsat-derived surface -
MCD64A1.061 MODIS Burned Area Monthly Global 500m
Łączony produkt danych o powierzchni spalonej gleby MCD64A1 w wersji 6.1, który jest wynikiem współpracy satelitów Terra i Aqua, to globalny produkt z miesięczną siatką o rozdzielczości 500 m, zawierający informacje o powierzchni spalonej gleby i jakości na poziomie piksela. Metoda mapowania obszarów spalonych MCD64A1 wykorzystuje obrazy MODIS odbicia powierzchni w rozdzielczości 500 m w połączeniu z obserwacjami aktywnych pożarów w ramach MODIS w rozdzielczości 1 km. Algorytm… burn change-detection fire geophysical global mcd64a1 -
System monitorowania zmian w krajobrazie USFS w wersji 2024.10 (CONUS i OCONUS)
Ta usługa należy do zestawu danych systemu monitorowania zmian w krajobrazie (LCMS). Pokazuje ona zmiany modelowane za pomocą LCMS, pokrycie terenu i klasy użytkowania gruntów w poszczególnych latach. Obejmuje ona kontynentalne Stany Zjednoczone (CONUS) oraz obszary poza CONUS (OCONUS), w tym Alaskę (AK), Portoryko, … change-detection forest gtac landcover landuse landuse-landcover -
VNP64A1: L4 Global 500m SIN Grid Monthly Burned Area
Codzienna usługa danych Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Burned Area (VNP64A1) Version 1 to globalna usługa danych z siatki 500 m, która zawiera informacje o powierzchni i jakości spalenizny w poszczególnych pikselach. Metoda mapowania obszarów spalonych VNP64 wykorzystuje dane VIIRS o rozdzielczości 750 m … burn change-detection fire land nasa noaa
Datasets tagged change-detection in Earth Engine
[null,null,[],[[["\u003cp\u003eThis webpage features curated datasets focused on land change detection using satellite imagery.\u003c/p\u003e\n"],["\u003cp\u003eDatasets provide insights into surface water changes, burned areas, and land cover/use transformations.\u003c/p\u003e\n"],["\u003cp\u003eData sources include Landsat, MODIS, VIIRS, and algorithms like CCDC for analyzing temporal patterns.\u003c/p\u003e\n"],["\u003cp\u003eGlobal and regional coverage is offered, with examples such as the USFS Landscape Change Monitoring System.\u003c/p\u003e\n"],["\u003cp\u003eThe collection spans multiple decades, enabling long-term change analysis and monitoring efforts.\u003c/p\u003e\n"]]],[],null,["# Datasets tagged change-detection in Earth Engine\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Google Global Landsat-based CCDC Segments (1999-2019)](/earth-engine/datasets/catalog/GOOGLE_GLOBAL_CCDC_V1) |\n | This collection contains precomputed results from running the Continuous Change Detection and Classification (CCDC) algorithm on 20 years of Landsat surface reflectance data. CCDC is a break-point finding algorithm that uses harmonic fitting with a dynamic RMSE threshold to detect breakpoints in time-series data. The ... |\n | [change-detection](/earth-engine/datasets/tags/change-detection) [google](/earth-engine/datasets/tags/google) [landcover](/earth-engine/datasets/tags/landcover) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### JRC Global Surface Water Mapping Layers, v1.4](/earth-engine/datasets/catalog/JRC_GSW1_4_GlobalSurfaceWater) |\n | This dataset contains maps of the location and temporal distribution of surface water from 1984 to 2021 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: High-resolution mapping of global surface water and its ... |\n | [change-detection](/earth-engine/datasets/tags/change-detection) [geophysical](/earth-engine/datasets/tags/geophysical) [google](/earth-engine/datasets/tags/google) [jrc](/earth-engine/datasets/tags/jrc) [landsat-derived](/earth-engine/datasets/tags/landsat-derived) [surface](/earth-engine/datasets/tags/surface) |\n\n-\n\n |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### MCD64A1.061 MODIS Burned Area Monthly Global 500m](/earth-engine/datasets/catalog/MODIS_061_MCD64A1) |\n | The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500m product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500m MODIS Surface Reflectance imagery coupled with 1km MODIS active fire observations. The algorithm ... |\n | [burn](/earth-engine/datasets/tags/burn) [change-detection](/earth-engine/datasets/tags/change-detection) [fire](/earth-engine/datasets/tags/fire) [geophysical](/earth-engine/datasets/tags/geophysical) [global](/earth-engine/datasets/tags/global) [mcd64a1](/earth-engine/datasets/tags/mcd64a1) |\n\n-\n\n |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### USFS Landscape Change Monitoring System v2024.10 (CONUS and OCONUS)](/earth-engine/datasets/catalog/USFS_GTAC_LCMS_v2024-10) |\n | This product is part of the Landscape Change Monitoring System (LCMS) data suite. It shows LCMS-modeled change, land cover, and/or land use classes for each year and covers the Conterminous United States (CONUS) as well as areas outside the CONUS (OCONUS) including Alaska (AK), Puerto ... |\n | [change-detection](/earth-engine/datasets/tags/change-detection) [forest](/earth-engine/datasets/tags/forest) [gtac](/earth-engine/datasets/tags/gtac) [landcover](/earth-engine/datasets/tags/landcover) [landuse](/earth-engine/datasets/tags/landuse) [landuse-landcover](/earth-engine/datasets/tags/landuse-landcover) |\n\n-\n\n |---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### VNP64A1: Burned Area Monthly L4 Global 500m SIN Grid](/earth-engine/datasets/catalog/NOAA_VIIRS_001_VNP64A1) |\n | The daily Suomi National Polar-Orbiting Partnership (Suomi NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Burned Area (VNP64A1) Version 1 data product is a monthly, global gridded 500m product containing per-pixel burned area and quality information. The VNP64 burned area mapping approach employs 750m VIIRS ... |\n | [burn](/earth-engine/datasets/tags/burn) [change-detection](/earth-engine/datasets/tags/change-detection) [fire](/earth-engine/datasets/tags/fire) [land](/earth-engine/datasets/tags/land) [nasa](/earth-engine/datasets/tags/nasa) [noaa](/earth-engine/datasets/tags/noaa) |"]]