Skip to content

Commit

Permalink
feat(layers): update land cover high resolution
Browse files Browse the repository at this point in the history
  • Loading branch information
Andreas Helms authored and Andreas Helms committed Mar 27, 2024
1 parent 0bb36ad commit a00b759
Show file tree
Hide file tree
Showing 5 changed files with 7 additions and 7 deletions.
2 changes: 1 addition & 1 deletion storage/layers/layers-de.json
Original file line number Diff line number Diff line change
Expand Up @@ -213,6 +213,6 @@
"name": "Hochauflösende Bodenbedeckung",
"shortName": "Hochauflösende Bodenbedeckung",
"usageInfo": "© ESA",
"description": "Die Bodenbedeckung (LC) wird von der FAO als die beobachtete physische Bedeckung der Erdoberfläche definiert. Sie umfasst die Vegetation und vom Menschen geschaffene Infrastrukturen wie Wasser, Eis, Felsen, Wälder oder städtische Gebiete. Seine Bewertung und die Überwachung seiner Dynamik sind für die korrekte Schätzung des Strahlungshaushalts der Erde von größter Bedeutung. Darüber hinaus steht die Bodenbedeckung in Zusammenhang mit der Landnutzung und ermöglicht die Untersuchung der Auswirkungen menschlicher Aktivitäten auf das Klima. Die Bodenbedeckung spielt eine Schlüsselrolle für die Variablen der Oberflächenenergie-, Wasser- und Kohlenstoffflüsse. Darüber hinaus wirkt sich die Veränderung der Bodenbedeckung auf die Strahlung, die Aerodynamik, die Verdunstungseigenschaften und die Kohlenstoffspeicherung aus und hat unterschiedliche Auswirkungen auf die Oberflächentemperatur und den Niederschlag.\r\n\r\nIm Rahmen des CCI-Projekts \"Hochauflösende Landbedeckung\" wurden regionale Zeitreihen von Landbedeckungskarten erstellt, die auf multitemporalen und multisensorischen Satellitenbeobachtungen im sichtbaren, infraroten und Mikrowellenbereich beruhen, wobei Daten von Sentinel 1, Sentinel 2, Landsat 4-5-7, ASAR, ERS-1 und ERS-2 verwendet wurden. Die dargestellten Bodenbedeckungstypen basieren auf dem UN Land Cover Classification System (LLCCS).\r\n\r\nDas Projekt wird sich hauptsächlich auf drei Gebiete konzentrieren:\r\n\r\nSüdamerika (Amazonaswald)\r\nWestafrika (Sahelzone)\r\nWestsibirien.\n\n**Angezeigte Variable:** Bodenbedeckungsklasse\r\n\n**Zeitspanne:** 1990, 1995, 2000, 2005,\r\n2010, 2015, 2019 \r\n\n**Zeitliche Auflösung:** Jährlich \r\n\n**Geografische Ausdehnung:** Sibirien (Region Nordsibirien), Amazonien (östliche Amazonasregion), Afrika (östliche Sahelregion) \r\n\n**Räumliche Auflösung:** 30m \r\n\n**Version:** 1.2 \r\n\r\n[ESA High Resolution Land Cover Climate Change Initiative Project](https://climate.esa.int/projects/high-resolution-land-cover/) \r\n[Daten im Open Data Portal](https://catalogue.ceda.ac.uk/uuid/b057708eec1042238fb333ab02ec772e)\r\n\r\n\n**Detaillierte Legende:** \r\n<style>\r\n .dot {\r\n height: 10px;\r\n width: 10px;\r\n border-radius: 50%;\r\n display: inline-block;\r\n margin-right: 5px;\r\n vertical-align: middle;\r\n }\r\n\r\n</style>\r\n<div class=\"dot\" style=\"background: rgb(0, 0, 0);\"></div>No data<br>\r\n<div class=\"dot\" style=\"background: rgb(10, 0, 100);\"></div>Tree cover evergreen broadleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(20, 0, 60);\"></div>Tree cover evergreen needleleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(30 0 160);\"></div>Tree cover deciduous broadleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(40, 40, 80);\"></div>Tree cover deciduous needleleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(50, 150, 100);\"></div>Shrub cover evergreen<br>\r\n<div class=\"dot\" style=\"background: rgb(60 170 115);\"></div>Shrub cover deciduous<br>\r\n<div class=\"dot\" style=\"background: rgb(70, 255, 180);\"></div>Grasslands<br>\r\n<div class=\"dot\" style=\"background: rgb(80, 255, 255);\"></div>Croplands<br>\r\n<div class=\"dot\" style=\"background: rgb(90, 27, 203);\"></div>Woody vegetation acquatic or regularly flooded<br>\r\n<div class=\"dot\" style=\"background: rgb(100, 0, 220);\"></div>Grassland vegetation acquatic or regularly flooded<br>\r\n<div class=\"dot\" style=\"background: rgb(110, 255, 220);\"></div>Lichens and mosses<br>\r\n<div class=\"dot\" style=\"background: rgb(120, 255, 245);\"></div>Bare areas<br>\r\n<div class=\"dot\" style=\"background: rgb(130, 195, 20);\"></div>Built-up<br>\r\n<div class=\"dot\" style=\"background: rgb(140, 0, 70);\"></div>Open water<br>\r\n<div class=\"dot\" style=\"background: rgb(142, 0, 70);\"></div>Open water permanent<br>\r\n<div class=\"dot\" style=\"background: rgb(150, 255, 255);\"></div>Permanent snow and/or ice<br>"
"description": "Die Bodenbedeckung (LC) wird von der FAO als die beobachtete physische Bedeckung der Erdoberfläche definiert. Sie umfasst die Vegetation und vom Menschen geschaffene Infrastrukturen wie Wasser, Eis, Felsen, Wälder oder städtische Gebiete. Seine Bewertung und die Überwachung seiner Dynamik sind für die korrekte Schätzung des Strahlungshaushalts der Erde von größter Bedeutung. Darüber hinaus steht die Bodenbedeckung in Zusammenhang mit der Landnutzung und ermöglicht die Untersuchung der Auswirkungen menschlicher Aktivitäten auf das Klima. Die Bodenbedeckung spielt eine Schlüsselrolle für die Variablen der Oberflächenenergie-, Wasser- und Kohlenstoffflüsse. Darüber hinaus wirkt sich die Veränderung der Bodenbedeckung auf die Strahlung, die Aerodynamik, die Verdunstungseigenschaften und die Kohlenstoffspeicherung aus und hat unterschiedliche Auswirkungen auf die Oberflächentemperatur und den Niederschlag.\r\n\r\nIm Rahmen des CCI-Projekts \"Hochauflösende Landbedeckung\" wurden regionale Zeitreihen von Landbedeckungskarten erstellt, die auf multitemporalen und multisensorischen Satellitenbeobachtungen im sichtbaren, infraroten und Mikrowellenbereich beruhen, wobei Daten von Sentinel 1, Sentinel 2, Landsat 4-5-7, ASAR, ERS-1 und ERS-2 verwendet wurden. Die dargestellten Bodenbedeckungstypen basieren auf dem UN Land Cover Classification System (LLCCS).\n\n**Angezeigte Variable:** Bodenbedeckungsklasse\r\n\n**Zeitspanne:** 1990, 1995, 2000, 2005,\r\n2010, 2015, 2019 \r\n\n**Zeitliche Auflösung:** Jährlich \r\n\n**Geografische Ausdehnung:** Sibirien (Region Nordsibirien), Amazonien (östliche Amazonasregion), Afrika (östliche Sahelregion) \r\n\n**Räumliche Auflösung:** 30m \r\n\n**Version:** 1.2 \r\n\r\n[ESA High Resolution Land Cover Climate Change Initiative Project](https://climate.esa.int/projects/high-resolution-land-cover/) \r\n[Daten im Open Data Portal](https://catalogue.ceda.ac.uk/uuid/b057708eec1042238fb333ab02ec772e)\r\n\r\n\n**Detaillierte Legende:** \r\n<style>\r\n .dot {\r\n height: 10px;\r\n width: 10px;\r\n border-radius: 50%;\r\n display: inline-block;\r\n margin-right: 5px;\r\n vertical-align: middle;\r\n }\r\n\r\n</style>\r\n<div class=\"dot\" style=\"background: rgb(0, 0, 0);\"></div>No data<br>\r\n<div class=\"dot\" style=\"background: rgb(10, 0, 100);\"></div>Tree cover evergreen broadleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(20, 0, 60);\"></div>Tree cover evergreen needleleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(30 0 160);\"></div>Tree cover deciduous broadleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(40, 40, 80);\"></div>Tree cover deciduous needleleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(50, 150, 100);\"></div>Shrub cover evergreen<br>\r\n<div class=\"dot\" style=\"background: rgb(60 170 115);\"></div>Shrub cover deciduous<br>\r\n<div class=\"dot\" style=\"background: rgb(70, 255, 180);\"></div>Grasslands<br>\r\n<div class=\"dot\" style=\"background: rgb(80, 255, 255);\"></div>Croplands<br>\r\n<div class=\"dot\" style=\"background: rgb(90, 27, 203);\"></div>Woody vegetation acquatic or regularly flooded<br>\r\n<div class=\"dot\" style=\"background: rgb(100, 0, 220);\"></div>Grassland vegetation acquatic or regularly flooded<br>\r\n<div class=\"dot\" style=\"background: rgb(110, 255, 220);\"></div>Lichens and mosses<br>\r\n<div class=\"dot\" style=\"background: rgb(120, 255, 245);\"></div>Bare areas<br>\r\n<div class=\"dot\" style=\"background: rgb(130, 195, 20);\"></div>Built-up<br>\r\n<div class=\"dot\" style=\"background: rgb(140, 0, 70);\"></div>Open water<br>\r\n<div class=\"dot\" style=\"background: rgb(142, 0, 70);\"></div>Open water permanent<br>\r\n<div class=\"dot\" style=\"background: rgb(150, 255, 255);\"></div>Permanent snow and/or ice<br>"
}
]
6 changes: 3 additions & 3 deletions storage/layers/layers-en.json
Original file line number Diff line number Diff line change
Expand Up @@ -210,9 +210,9 @@
{
"id": "land_cover.class",
"type": "Biosphere",
"name": "High Resolution Land Cover",
"shortName": "High Resolution Land Cover",
"name": "Land Cover High Resolution",
"shortName": "Land Cover High Resolution",
"usageInfo": "© ESA",
"description": "Land cover (LC) is defined by FAO as the observed physical cover of the Earth surface. It includes the vegetation and human-made infrastructures, like water, ice, rock, forest or urban areas. Its assessment and the monitoring of its dynamics are of extreme importance for the correct estimation of Earth radiation budget. Moreover, LC is correlated to land use and by proxy allows the study of how human activities impact on the Climate. Land Cover has a key role on surface energy, water and carbon fluxes variables. Moreover, Land cover change has an impact on radiative, aerodynamic, evaporative properties, carbon storage with different effects on surface temperature and precipitation.\r\n\r\nThe CCI High Resolution Land Cover project has developed regional time series of land-cover maps based on multitemporal and multisensor satellite observations in the visibile, infrared and microwave wavelength using Sentinel 1, Sentinel 2, Landsat 4-5-7, ASAR, ERS-1 and ERS-2 data. The land cover types shown are based on the UN Land Cover Classification System (LLCCS).\r\n\r\nThe project will focus primarily on three areas:\r\n\r\nSouth America (Amazon forest)\r\nWest Africa (Sahel band)\r\nWestern Siberia.\n\n**Variable Shown:** Land cover class\r\n\n**Time Span:** 1990, 1995, 2000, 2005,\r\n2010, 2015, 2019 \r\n\n**Temporal resolution:** yearly \r\n\n**Geographic Extent:** Siberia (Northern Siberia region), Amazonia (Eastern Amazonas region), Africa (Eastern Sahel region) \r\n\n**Spatial Resolution:** 30m \r\n\n**Version:** 1.2 \r\n\r\n[ESA High Resolution Land Cover Climate Change Initiative Project website](https://climate.esa.int/projects/high-resolution-land-cover/) \r\n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/b057708eec1042238fb333ab02ec772e)\r\n\r\n\n**Detailed Legend:** \r\n<style>\r\n .dot {\r\n height: 10px;\r\n width: 10px;\r\n border-radius: 50%;\r\n display: inline-block;\r\n margin-right: 5px;\r\n vertical-align: middle;\r\n }\r\n</style>\r\n<div class=\"dot\" style=\"background: rgb(0, 0, 0);\"></div>No data<br>\r\n<div class=\"dot\" style=\"background: rgb(10, 0, 100);\"></div>Tree cover evergreen broadleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(20, 0, 60);\"></div>Tree cover evergreen needleleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(30 0 160);\"></div>Tree cover deciduous broadleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(40, 40, 80);\"></div>Tree cover deciduous needleleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(50, 150, 100);\"></div>Shrub cover evergreen<br>\r\n<div class=\"dot\" style=\"background: rgb(60 170 115);\"></div>Shrub cover deciduous<br>\r\n<div class=\"dot\" style=\"background: rgb(70, 255, 180);\"></div>Grasslands<br>\r\n<div class=\"dot\" style=\"background: rgb(80, 255, 255);\"></div>Croplands<br>\r\n<div class=\"dot\" style=\"background: rgb(90, 27, 203);\"></div>Woody vegetation acquatic or regularly flooded<br>\r\n<div class=\"dot\" style=\"background: rgb(100, 0, 220);\"></div>Grassland vegetation acquatic or regularly flooded<br>\r\n<div class=\"dot\" style=\"background: rgb(110, 255, 220);\"></div>Lichens and mosses<br>\r\n<div class=\"dot\" style=\"background: rgb(120, 255, 245);\"></div>Bare areas<br>\r\n<div class=\"dot\" style=\"background: rgb(130, 195, 20);\"></div>Built-up<br>\r\n<div class=\"dot\" style=\"background: rgb(140, 0, 70);\"></div>Open water<br>\r\n<div class=\"dot\" style=\"background: rgb(142, 0, 70);\"></div>Open water permanent<br>\r\n<div class=\"dot\" style=\"background: rgb(150, 255, 255);\"></div>Permanent snow and/or ice<br>"
"description": "Land cover (LC) is defined by FAO as the observed physical cover of the Earth surface. It includes the vegetation and human-made infrastructures, like water, ice, rock, forest or urban areas. Its assessment and the monitoring of its dynamics are of extreme importance for the correct estimation of Earth radiation budget. Moreover, LC is correlated to land use and by proxy allows the study of how human activities impact on the Climate. Land Cover has a key role on surface energy, water and carbon fluxes variables. Moreover, Land cover change has an impact on radiative, aerodynamic, evaporative properties, carbon storage with different effects on surface temperature and precipitation.\r\n\r\nThe CCI High Resolution Land Cover project has developed regional time series of land-cover maps based on multitemporal and multisensor satellite observations in the visibile, infrared and microwave wavelength using Sentinel 1, Sentinel 2, Landsat 4-5-7, ASAR, ERS-1 and ERS-2 data. The land cover types shown are based on the UN Land Cover Classification System (LLCCS).\n\n**Variable Shown:** Land cover class\r\n\n**Time Span:** 1990, 1995, 2000, 2005,\r\n2010, 2015, 2019 \r\n\n**Temporal resolution:** yearly \r\n\n**Geographic Extent:** Siberia (Northern Siberia region), Amazonia (Eastern Amazonas region), Africa (Eastern Sahel region) \r\n\n**Spatial Resolution:** 30m \r\n\n**Version:** 1.2 \r\n\r\n[ESA High Resolution Land Cover Climate Change Initiative Project website](https://climate.esa.int/projects/high-resolution-land-cover/) \r\n[Data in the Open Data Portal](https://catalogue.ceda.ac.uk/uuid/b057708eec1042238fb333ab02ec772e)\r\n\r\n\n**Detailed Legend:** \r\n<style>\r\n .dot {\r\n height: 10px;\r\n width: 10px;\r\n border-radius: 50%;\r\n display: inline-block;\r\n margin-right: 5px;\r\n vertical-align: middle;\r\n }\r\n</style>\r\n<div class=\"dot\" style=\"background: rgb(0, 0, 0);\"></div>No data<br>\r\n<div class=\"dot\" style=\"background: rgb(10, 0, 100);\"></div>Tree cover evergreen broadleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(20, 0, 60);\"></div>Tree cover evergreen needleleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(30 0 160);\"></div>Tree cover deciduous broadleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(40, 40, 80);\"></div>Tree cover deciduous needleleaf<br>\r\n<div class=\"dot\" style=\"background: rgb(50, 150, 100);\"></div>Shrub cover evergreen<br>\r\n<div class=\"dot\" style=\"background: rgb(60 170 115);\"></div>Shrub cover deciduous<br>\r\n<div class=\"dot\" style=\"background: rgb(70, 255, 180);\"></div>Grasslands<br>\r\n<div class=\"dot\" style=\"background: rgb(80, 255, 255);\"></div>Croplands<br>\r\n<div class=\"dot\" style=\"background: rgb(90, 27, 203);\"></div>Woody vegetation acquatic or regularly flooded<br>\r\n<div class=\"dot\" style=\"background: rgb(100, 0, 220);\"></div>Grassland vegetation acquatic or regularly flooded<br>\r\n<div class=\"dot\" style=\"background: rgb(110, 255, 220);\"></div>Lichens and mosses<br>\r\n<div class=\"dot\" style=\"background: rgb(120, 255, 245);\"></div>Bare areas<br>\r\n<div class=\"dot\" style=\"background: rgb(130, 195, 20);\"></div>Built-up<br>\r\n<div class=\"dot\" style=\"background: rgb(140, 0, 70);\"></div>Open water<br>\r\n<div class=\"dot\" style=\"background: rgb(142, 0, 70);\"></div>Open water permanent<br>\r\n<div class=\"dot\" style=\"background: rgb(150, 255, 255);\"></div>Permanent snow and/or ice<br>"
}
]
Loading

0 comments on commit a00b759

Please sign in to comment.