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Google グローバル Landsat ベースの CCDC セグメント(1999 ~ 2019)
このコレクションには、20 年間の Landsat 地表反射率データに対して連続変化検出と分類(CCDC)アルゴリズムを実行した結果が事前計算されています。CCDC は、動的 RMSE しきい値を使用したハーモニック フィッティングを使用して、時系列データ内のブレークポイントを検出するブレークポイント検出アルゴリズムです。カラーは、RGB 値とアルファ チャンネルで指定します。 change-detection google landcover landsat-derived landuse landuse-landcover -
JRC 地表水マッピング レイヤ v1.4
このデータセットには、1984 年から 2021 年までの地表水の位置と時間分布の地図が含まれており、それらの水域の範囲と変化に関する統計情報が提供されています。詳細については、関連するジャーナル記事「High-resolution mapping of global surface water and its …」をご覧ください。 change-detection geophysical google jrc landsat-derived surface -
MCD64A1.061 MODIS 焼失面積月別世界 500 m
Terra と Aqua の MCD64A1 バージョン 6.1 焼失面積データ プロダクトは、焼失面積と品質に関するピクセル単位の情報を提供する、月次グローバル グリッド 500 m プロダクトです。MCD64A1 焼失地域マッピング手法では、500 m の MODIS 地表反射率画像と 1 km の MODIS 活火山観測を組み合わせて使用します。アルゴリズムは次のように動作します。 burn change-detection fire geophysical global mcd64a1 -
USFS 景観変化監視システム v2024.10(CONUS と OCONUS)
このプロダクトは、景観変化監視システム(LCMS)データ スイートの一部です。各年の LCMS モデルによる変化、土地被覆、土地利用のクラスを示し、米国大陸部(CONUS)に加えて、アラスカ(AK)、プエルトを含む CONUS 外の地域(OCONUS)をカバーしています... change-detection forest gtac landcover landuse landuse-landcover -
VNP64A1: 焼失面積月別 L4 グローバル 500 m SIN グリッド
毎日の Suomi National Polar-Orbiting Partnership(Suomi NPP)NASA Visible Infrared Imaging Radiometer Suite(VIIRS)Burned Area(VNP64A1)バージョン 1 データ プロダクトは、ピクセル単位の焼失面積と品質情報を含む、月単位のグローバル グリッド 500 m プロダクトです。VNP64 の焼失地域マッピング アプローチでは、750 m の VIIRS が使用されます。 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) |"]]