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Google Global Landsat tabanlı CCDC Segmentleri (1999-2019)
Bu koleksiyon, 20 yıllık Landsat yüzey yansıması verilerinde Sürekli Değişiklik Tespit ve Sınıflandırma (CCDC) algoritmasının çalıştırılmasıyla elde edilen önceden hesaplanmış sonuçları içerir. CCDC, zaman serisi verilerindeki kesme noktalarını tespit etmek için dinamik bir RMSE eşiğiyle harmonik uyumu kullanan bir kesme noktası bulma algoritmasıdır. … change-detection google landcover landsat-derived landuse landuse-landcover -
JRC Global Surface Water Mapping Layers, v1.4
Bu veri kümesi, 1984-2021 yılları arasındaki yüzey suyunun konumu ve zamansal dağılımının haritalarını içerir ve bu su yüzeylerinin kapsamı ve değişimi hakkında istatistikler sağlar. Daha fazla bilgi için ilgili dergi makalesine bakın: Global yüzey suyunun ve … change-detection geophysical google jrc landsat-derived surface -
MCD64A1.061 MODIS Yanmış Alan Aylık Küresel 500 m
Terra ve Aqua'nın birleştirilmiş MCD64A1 6.1 Sürüm Yanan Alan veri ürünü, piksel başına yanmış alan ve kalite bilgileri içeren aylık, küresel 500 m ızgaralı bir üründür. MCD64A1 yanmış alan haritalandırma yaklaşımı, 500 m MODIS yüzey yansıması görüntülerinin yanı sıra 1 km MODIS aktif yangın gözlemlerini kullanır. Algoritma… burn change-detection fire geophysical global mcd64a1 -
USFS Landscape Change Monitoring System v2024.10 (CONUS ve OCONUS)
Bu ürün, Peyzaj Değişikliği İzleme Sistemi (LCMS) veri paketinin bir parçasıdır. Her yıl için LCMS tarafından modellenmiş değişimi, arazi örtüsünü ve/veya arazi kullanımı sınıflarını gösterir. Kıta Amerika Birleşik Devletleri'nin (CONUS) yanı sıra Alaska (AK), Porto Riko (PR), Hawaii (HI) ve Virgin Adaları (VI) dahil olmak üzere CONUS dışındaki alanları (OCONUS) kapsar. change-detection forest gtac landcover landuse landuse-landcover -
VNP64A1: Yanan Alan Aylık L4 Küresel 500 m SIN Şebekesi
Günlük Suomi Ulusal Kutup Yörüngesinde Uçuş Ortaklığı (Suomi NPP) NASA Görünür Kızılötesi Görüntüleme Radyometresi Paketi (VIIRS) Yanan Alan (VNP64A1) 1. Sürüm veri ürünü, piksel başına yanmış alan ve kalite bilgileri içeren aylık, küresel 500 m ızgaralı bir üründür. VNP64 yanmış alan haritalandırma yaklaşımı 750 m VIIRS … 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) |"]]