نوع المادة: كتاب

الموضوعات

Visual and cultural studies, visual communication, symbolic communication, media studies, self-representation, cult, cult of persons, votive practice, religion, sacred space, iconography, narration, Classical Archaeology, History of Art, History, History of Science, European Ethnology, Cultural Anthropology, Numismatics, Geology, film studies, television, politics, architecture, antiquity, middle ages, 20th century, Vienna, Pöggstall, Austria, Athens, Byzantium, Serbia, Kosovo, Ukraine, Portugal, Soma Morgenstern, Antonio Salazar, Slobodan Milošević, Theo Angelopoulos, Anna Stainer-Knittel, Geier-Wally, heroes, churches in Vienna, votive terracottas, Erechtheum, foundation sacrifices.; Visuelle Kulturgeschichte, visuelle Kommunikation; symbolische Kommunikation, mediale Inszenierung, Selbstdarstellung, Kult, Personenkult, Votivpraxis, Religion, sakrale Räume, Ikonographie, Narration, Klassische Archäologie, Kunstgeschichte, Geschichte, Wissenschaftsgeschichte, Europäische Ethnologie, K

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الألمانية

التاريخ: 2014

ردمك: 9783205795162

ملف خارجي

نوع المادة: كتاب

الموضوعات

Magdalena., New Mexico, Interviews

HISTORY / United States / State & Local / Southwest (AZ, NM, OK, TX).

New Mexico, Whites, Social life and customs., Magdalena

Magdalena, Hispanic Americans, New Mexico, Social life and customs.

New Mexico, Magdalena, School children, History.

History., Cultural pluralism, New Mexico, Magdalena

SOCIAL SCIENCE / Children's Studies.

New Mexico, Navajo Indians, Magdalena, Social life and customs.

History., Magdalena, Intercultural communication, New Mexico

Magdalena, History., New Mexico, Coming of age

SOCIAL SCIENCE / Ethnic Studies / Hispanic American Studies.

التصنيف:

العلوم الاجتماعية

المصادر: MUSE

اللغة: الإنجليزية

التاريخ: 2016

ردمك: 9780700622559

1 online resource (pages cm)

ملف خارجي

نوع المادة: كتاب

الموضوعات

Winter.

Railroad cars.

Railroads, United States.

Hotels.

Railroad bridges.

Railroad employees.

Horse railroads.

Logging railroads.

Hunting.

Freedom Train.

Railroad facilities.

Railroad stations.

Ferries.

Lifesaving stations.

Railroad locomotives.

Tracklaying vehicles.

Railroad shops and yards.

Marine accidents.

Lifeboats.

Railroad motor-cars.

Harbors.

United States., Street railroads

Iron industry.

Dams.

Agricultural machinery & implements.

Tunnels.

Guards.

Ships, Great Lakes.

Lumber industry.

Railroad accidents.

Railroad construction and maintenance.

المصادر: University of Michigan

اللغة: الإنجليزية

7 linear ft. (11 boxes).

ملف خارجي

نوع المادة: كتاب

الموضوعات

Iron mines and mining, Michigan, Upper Peninsula.

Michigan, Elections, 1896.

1888., Elections, Michigan

Michigan, Upper Peninsula., General stores

Depressions, 1873, United States.

American newspapers, Michigan, Lansing.

Michigan, 1878., Elections

Michigan, 1880., Elections

Michigan, Elections, 1876.

Michigan., Railroads

Michigan., Insurance

Indians of North America, Michigan.

1892., Michigan, Elections

Shipping, Great Lakes (North America).

Upper Peninsula., Manufactures, Michigan

Michigan, Elections, 1882.

Upper Peninsula., Banks and banking, Michigan

Michigan., Land use

Michigan, Elections, 1886.

Marquette., American newspapers, Michigan

Michigan, Elections, 1884.

المصادر: University of Michigan

اللغة: الإنجليزية

30 linear ft. and 15 oversize volumes.

ملف خارجي

نوع المادة: كتاب

الموضوعات

Street railroads, Dearborn., Michigan

Michigan, Street railroads, Ann Arbor.

Lumber industry.

Ypsilanti., Streets, Michigan

Pianos.

Bathing suits.

Ferries.

Diving.

Automobiles.

Railroad employees.

Michigan, Maple Ridge., Lumber industry

Danish Americans.

Eating and drinking.

Shay locomotives.

Finnish Americans.

Mining.

Negaunee., Michigan, Historical markers

Michigan, Dearborn., Streets

Michigan., Forests

Michigan, Western., Indians of North America

Hunting, Michigan.

Musical instruments.

Cookery.

Winter.

Military parades and ceremonies.

Soldiers, American.

Churches., Detroit (Mich.)

Emigration and immigration.

Dams, Mio., Michigan

Families.

Cutover lands.

Great Lakes., Shipping

Swimming.

Automobile industry.

Cadillac., Living rooms, Michigan

Electric railroads.

Spanish-American War, 1898.

Woodcutting.

Ship accidents.

Railroad accidents.

Michigan., Physicians

Ethnic groups.

American, Soviet Union., Soldiers

Architecture.

Children.

Michigan, Streets, Ann Arbor.

Military camps.

Forestry.

Carriages and coaches.

Horses.

Ypsilanti (Mich.), Streets.

Dwellings, Michigan.

Railroad facilities.

Women.

Living rooms., Cadillac (Mich.)

Michigan, Port Huron., Street railroads

Cadillac., Offices, Michigan

Logs.

Cargo ships.

Michigan., Copper mining

Military life.

Port Huron (Mich.), Street railroads.

General stores, Michigan.

Sports.

Carts and wagons.

Streets, Michigan, Detroit.

Miners.

Farms.

Camping.

Military officers.

Iron mining.

Michigan, Harbor Springs., Harbors

Steamboats.

Children's clothing and dress.

Skid roads.

1908., Baseball

Polish Americans.

Buses.

Michigan, Port Huron., Bridges

Port Huron (Mich.), Streets.

Military maneuvers.

Funeral rites and ceremonies.

Michigan, Churches, Detroit.

Sleds and sleighs.

Deer hunting.

Parties.

German Americans.

Parades and processions.

Laborers.

Railroad locomotives.

1860-1920., Clothing and dress

Ox teams.

Chauffers.

Railroads, Michigan.

Street railroads, Michigan, Ypsilanti.

المصادر: University of Michigan

اللغة: الإنجليزية

0.5 linear ft. (in 2 boxes) and 1 outsize box.

ملف خارجي

نوع المادة: كتاب

الموضوعات

evapotranspiration; Northeast China; MS–PT algorithm; spatial-temporal variations; controlling factors; potential evapotranspiration; vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT; leaf area density; terrestrial LiDAR; tree canopy; vertical structure; voxel; spatial representativeness; heterogeneity; validation; land-surface temperature products (LSTs); observations; HiWATER; remote sensing; spatiotemporal representative; cost-efficient, sampling design; heterogeneity; validation; FY-3C/MERSI; GLASS; Land surface temperature; Land surface emissivity; GPP; SIF; MuSyQ-GPP algorithm; BEPS; vegetation phenology; Tibetan Plateau; MODIS; NDVI; start of growing season (SOS); end of growing season (EOS); GLASS LAI time series; forest disturbance; disturbance index; latent heat; machine learning algorithms; plant functional type; high-resolution freeze/thaw; AMSR2; MODIS; LAI; ZY-3 MUX; GF-1 WFV; HJ-1 CCD; maize; PROSPECT-5B+SAILH (PROSAIL) model; spatial heterogeneity; variability; evapotranspiration; land surface variables; probability density function; HiWATER; spectral; albedometer; interference filter; photoelectric detector; validation; land surface albedo; multi-scale validation; rugged terrain; MRT-based model; MCD43A3 C6; precipitation; statistics methods; China; Tibetan Plateau; South China’s; drought; SPI; TMI data; crop-growing regions; downward shortwave radiation; machine learning; gradient boosting regression tree; AVHRR; CMA; BRDF; aerosol; MODIS; sunphotometer; arid/semiarid; solar-induced chlorophyll fluorescence; fluorescence quantum efficiency in dark-adapted conditions (FQE); SCOPE; Fraunhofer Line Discrimination (FLD); gross primary productivity (GPP); longwave upwelling radiation (LWUP); Visible Infrared Imaging Radiometer Suite (VIIRS); surface radiation budget; hybrid method; remote sensing; leaf age; leaf spectral properties; leaf area index; Cunninghamia; Chinese fir; canopy reflectance; NIR; EVI2; geometric optical radiative transfer (GORT) model; land surface albedo; snow-free albedo; rugged terrain; topographic effects; black-sky albedo (BSA); GPP; NPP; MODIS; validation; phenology; RADARSAT-2; rice; Synthetic Aperture Radar (SAR); decision tree; forest canopy height; aboveground biomass; ICESat GLAS; Landsat; random forest model; anisotropic reflectance; BRDF; rugged terrain; solo slope; composite slope; surface solar irradiance; geostationary satellite; polar orbiting satellite; LUT method; SURFRAD; downward shortwave radiation; daily average value; Antarctica; sinusoidal method; cloud fraction; interpolation; boreal forest; GPP; spatiotemporal distribution and variation; meteorological factors; phenological parameters; multisource data fusion; aerosol retrieval; urban scale; vegetation dust-retention; multiple ecological factors; geographical detector model; snow cover; passive microwave; FY-3C/MWRI; algorithmic assessment; China; land surface temperature; satellite observations; flux measurements; latitudinal pattern; land cover change; fractional vegetation cover (FVC); multi-data set; northern China; spatio-temporal; inter-annual variation; uncertainty; standard error of the mean; downscaling; GPP; spatial heterogeneity; remote sensing; subpixel information; LiDAR; point cloud; leaf; gap fraction; 3D reconstruction; biodiversity; remote sensing; species richness; metric comparison; metric integration; leaf area index; MODIS products; Landsat; high resolution; homogeneous and pure pixel filter; pixel unmixing; vertical vegetation stratification; gross primary production (GPP); light use efficiency; dense forest; MODIS; VPM; temperature profiles; humidity profiles; n/a; geometric-optical model; thermal radiation directionality; quantitative remote sensing inversion; scale effects; comprehensive field experiment

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038972709

ملف خارجي

نوع المادة: كتاب

الموضوعات

evapotranspiration; Northeast China; MS–PT algorithm; spatial-temporal variations; controlling factors; potential evapotranspiration; vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT; leaf area density; terrestrial LiDAR; tree canopy; vertical structure; voxel; spatial representativeness; heterogeneity; validation; land-surface temperature products (LSTs); observations; HiWATER; remote sensing; spatiotemporal representative; cost-efficient, sampling design; heterogeneity; validation; FY-3C/MERSI; GLASS; Land surface temperature; Land surface emissivity; GPP; SIF; MuSyQ-GPP algorithm; BEPS; vegetation phenology; Tibetan Plateau; MODIS; NDVI; start of growing season (SOS); end of growing season (EOS); GLASS LAI time series; forest disturbance; disturbance index; latent heat; machine learning algorithms; plant functional type; high-resolution freeze/thaw; AMSR2; MODIS; LAI; ZY-3 MUX; GF-1 WFV; HJ-1 CCD; maize; PROSPECT-5B+SAILH (PROSAIL) model; spatial heterogeneity; variability; evapotranspiration; land surface variables; probability density function; HiWATER; spectral; albedometer; interference filter; photoelectric detector; validation; land surface albedo; multi-scale validation; rugged terrain; MRT-based model; MCD43A3 C6; precipitation; statistics methods; China; Tibetan Plateau; South China’s; drought; SPI; TMI data; crop-growing regions; downward shortwave radiation; machine learning; gradient boosting regression tree; AVHRR; CMA; BRDF; aerosol; MODIS; sunphotometer; arid/semiarid; solar-induced chlorophyll fluorescence; fluorescence quantum efficiency in dark-adapted conditions (FQE); SCOPE; Fraunhofer Line Discrimination (FLD); gross primary productivity (GPP); longwave upwelling radiation (LWUP); Visible Infrared Imaging Radiometer Suite (VIIRS); surface radiation budget; hybrid method; remote sensing; leaf age; leaf spectral properties; leaf area index; Cunninghamia; Chinese fir; canopy reflectance; NIR; EVI2; geometric optical radiative transfer (GORT) model; land surface albedo; snow-free albedo; rugged terrain; topographic effects; black-sky albedo (BSA); GPP; NPP; MODIS; validation; phenology; RADARSAT-2; rice; Synthetic Aperture Radar (SAR); decision tree; forest canopy height; aboveground biomass; ICESat GLAS; Landsat; random forest model; anisotropic reflectance; BRDF; rugged terrain; solo slope; composite slope; surface solar irradiance; geostationary satellite; polar orbiting satellite; LUT method; SURFRAD; downward shortwave radiation; daily average value; Antarctica; sinusoidal method; cloud fraction; interpolation; boreal forest; GPP; spatiotemporal distribution and variation; meteorological factors; phenological parameters; multisource data fusion; aerosol retrieval; urban scale; vegetation dust-retention; multiple ecological factors; geographical detector model; snow cover; passive microwave; FY-3C/MWRI; algorithmic assessment; China; land surface temperature; satellite observations; flux measurements; latitudinal pattern; land cover change; fractional vegetation cover (FVC); multi-data set; northern China; spatio-temporal; inter-annual variation; uncertainty; standard error of the mean; downscaling; GPP; spatial heterogeneity; remote sensing; subpixel information; LiDAR; point cloud; leaf; gap fraction; 3D reconstruction; biodiversity; remote sensing; species richness; metric comparison; metric integration; leaf area index; MODIS products; Landsat; high resolution; homogeneous and pure pixel filter; pixel unmixing; vertical vegetation stratification; gross primary production (GPP); light use efficiency; dense forest; MODIS; VPM; temperature profiles; humidity profiles; n/a; geometric-optical model; thermal radiation directionality; quantitative remote sensing inversion; scale effects; comprehensive field experiment

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038972761

ملف خارجي