Land Cover Type and Fire in Portugal: Do Fires Burn Land Cover Selectively?

2005 ◽  
Vol 20 (6) ◽  
pp. 661-673 ◽  
Author(s):  
Maria C.S. Nunes ◽  
Maria J. Vasconcelos ◽  
José M.C. Pereira ◽  
Nairanjana Dasgupta ◽  
Richard J. Alldredge ◽  
...  
Keyword(s):  
Land Cover ◽  
Land Cover Type ◽  
Cover Type

scholarly journals Land Use and Land Cover Change Assessment in the Context of Flood Hazard in Lagos State, Nigeria

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1105
Author(s):  
Dorcas Idowu ◽  
Wendy Zhou
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Flood Hazard ◽  
The State ◽  
Land Cover Type ◽  
Lulc Change ◽  
Cover Type ◽  
Lulc Changes ◽  
Lagos State ◽  
Very High

Incessant flooding is a major hazard in Lagos State, Nigeria, occurring concurrently with increased urbanization and urban expansion rate. Consequently, there is a need for an assessment of Land Use and Land Cover (LULC) changes over time in the context of flood hazard mapping to evaluate the possible causes of flood increment in the State. Four major land cover types (water, wetland, vegetation, and developed) were mapped and analyzed over 35 years in the study area. We introduced a map-matrix-based, post-classification LULC change detection method to estimate multi-year land cover changes between 1986 and 2000, 2000 and 2016, 2016 and 2020, and 1986 and 2020. Seven criteria were identified as potential causative factors responsible for the increasing flood hazards in the study area. Their weights were estimated using a combined (hybrid) Analytical Hierarchy Process (AHP) and Shannon Entropy weighting method. The resulting flood hazard categories were very high, high, moderate, low, and very low hazard levels. Analysis of the LULC change in the context of flood hazard suggests that most changes in LULC result in the conversion of wetland areas into developed areas and unplanned development in very high to moderate flood hazard zones. There was a 69% decrease in wetland and 94% increase in the developed area during the 35 years. While wetland was a primary land cover type in 1986, it became the least land cover type in 2020. These LULC changes could be responsible for the rise in flooding in the State.

Topsoil microbial community structure responds to land cover type and environmental zone in the Western Pacific region

2021 ◽  
Vol 764 ◽  
pp. 144349
Author(s):  
Yu-Pin Lin ◽  
Rainer Ferdinand Wunderlich ◽  
Chiao-Ming Lin ◽  
Norman Uphoff ◽  
Dirk S. Schmeller ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Land Cover ◽  
Microbial Community Structure ◽  
Western Pacific ◽  
Land Cover Type ◽  
Pacific Region ◽  
Western Pacific Region ◽  
Cover Type ◽  
The Western Pacific

scholarly journals The effect of land cover type and structure on evapotranspiration from agricultural and wetland sites in the Sacramento–San Joaquin River Delta, California

2018 ◽  
Vol 256-257 ◽  
pp. 179-195 ◽  
Author(s):  
Elke Eichelmann ◽  
Kyle S. Hemes ◽  
Sara H. Knox ◽  
Patricia Y. Oikawa ◽  
Samuel D. Chamberlain ◽  
...  
Keyword(s):  
Land Cover ◽  
River Delta ◽  
Land Cover Type ◽  
Cover Type ◽  
San Joaquin River

scholarly journals Effect of surface BRDF of various land cover types on geostationary observations of tropospheric NO<sub>2</sub>

2014 ◽  
Vol 7 (10) ◽  
pp. 3497-3508 ◽  
Author(s):  
K. Noguchi ◽  
A. Richter ◽  
V. Rozanov ◽  
A. Rozanov ◽  
J. P. Burrows ◽  
...  
Keyword(s):  
Land Cover ◽  
Near Infrared ◽  
Evergreen Forest ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Land Cover Type ◽  
Cover Type ◽  
Reflectance Anisotropy ◽  
Tropospheric No2 ◽  
Effect Of Surface

Abstract. We investigated the effect of surface reflectance anisotropy, bidirectional reflectance distribution function (BRDF), on satellite retrievals of tropospheric NO2. We assume the geometry of geostationary measurements over Tokyo, which is one of the worst air-polluted regions in East Asia. We calculated air mass factors (AMF) and box AMFs (BAMF) for tropospheric NO2 to evaluate the effect of BRDF by using the radiative transfer model SCIATRAN. To model the BRDF effect, we utilized the Moderate Resolution Imaging Spectroradiometer (MODIS) products (MOD43B1 and MOD43B2), which provide three coefficients to express the RossThick–LiSparse reciprocal model, a semi-empirical and kernel-based model of BRDF. Because BRDF depends on the land cover type, we also utilized the High Resolution Land-Use and Land-Cover Map of the Advanced Land Observing Satellite (ALOS)/Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2), which classifies the ground pixels over Tokyo into six main types: water, urban, paddy, crop, deciduous forest, and evergreen forest. We first develop an empirical model of the three BRDF coefficients for each land cover type over Tokyo and then apply the model to the calculation of land-cover-type-dependent AMFs and BAMFs. Results show that the variability of AMF among the land types is up to several tens of percent, and if we neglect the reflectance anisotropy, the difference with AMFs based on BRDF reaches 10% or more. The evaluation of the BAMFs calculated shows that not considering BRDF will cause large errors if the concentration of NO2 is high close to the surface, although the importance of BRDF for AMFs decreases for large aerosol optical depth (AOD).

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