Snow cover monitoring in alpine regions with COSMO-SkyMed images by using a multitemporal approach and depolarization ratio

2011 ◽  
Author(s):  
B. Ventura ◽  
T. Schellenberger ◽  
C. Notarnicola ◽  
M. Zebisch ◽  
T. Nagler ◽  
...  
Keyword(s):  
Snow Cover ◽  
Depolarization Ratio ◽  
Alpine Regions

Analysis of snow changes in alpine regions with X-band data: electromagnetic analysis and snow cover mapping

2011 ◽  
Author(s):  
B. Ventura ◽  
T. Schellenberger ◽  
C. Notarnicola ◽  
M. Zebisch ◽  
V. Maddalena ◽  
...  
Keyword(s):  
Snow Cover ◽  
Electromagnetic Analysis ◽  
Alpine Regions ◽  
X Band

scholarly journals An Integrated Shadow-Adjusted Snow-Aging Index for Alpine Regions

2020 ◽  
Vol 12 (8) ◽  
pp. 1249
Author(s):  
Haixing Li ◽  
Jinrong Liu ◽  
Xiangxu Bu ◽  
Xuezhi Feng ◽  
Pengfeng Xiao
Keyword(s):  
Snow Cover ◽  
Aging Process ◽  
Field Measurements ◽  
Northwest China ◽  
Analytic Hierarchy ◽  
Alpine Regions ◽  
Aging Index ◽  
Optical Images ◽  
Searching Method ◽  
Steep Slopes

Detecting the variations in snow cover aging over undulating alpine regions is challenging owing to the complex snow-aging process and shadow effect from steep slopes. This study proposes a novel snow-cover status index, namely shadow-adjusted snow-aging index (SASAI), portraying the integrated aging process within the Manas River Basin in northwest China. The Environment Satellites HJ-1A/B optical images and in-field measurements were used during the snow ablation and accumulation periods. The in-field measurements provide a reference for building a candidate library of snow-aging indicators. The representative aging samples for training and validation were obtained using the proposed time-gap searching method combined with the target zones established based on the altitude of snowline. An analytic hierarchy process was used to determine the snow-aging index (SAI) using multiple optimal snow-aging indicators. After correction by the extreme value optimization algorithm, the SASAI was finally corrected for the effects of shading and assessed. This study provides both a flexible algorithm that indicates the characteristics of snow aging and speculation on the causes of the aging process. The separability of the SAI/SASAI and adaptability of this algorithm on multiperiod remote sensing images further demonstrates the applicability of the SASAI to all the alpine regions.

Snow cover monitoring in Alpine regions using ENVISAT optical data

2005 ◽  
Vol 26 (21) ◽  
pp. 4661-4667 ◽  
Author(s):  
M. Pepe ◽  
P. A. Brivio ◽  
A. Rampini ◽  
F. Rota Nodari ◽  
M. Boschetti
Keyword(s):  
Snow Cover ◽  
Optical Data ◽  
Alpine Regions

Changes in the seasonal snow cover of alpine regions and its effect on soil processes: A review

2007 ◽  
Vol 162-163 ◽  
pp. 172-181 ◽  
Author(s):  
Anthony C. Edwards ◽  
Riccardo Scalenghe ◽  
Michele Freppaz
Keyword(s):  
Snow Cover ◽  
Soil Processes ◽  
Seasonal Snow ◽  
Alpine Regions ◽  
Seasonal Snow Cover

ЭКОЛОГО-ГЕОХИМИЧЕСКОЕ РАЙОНИРОВАНИЕ ТЕРРИТОРИИГ. БИРОБИДЖАНА ПО УРОВНЮ ЗАГРЯЗНЕНИЯ СНЕЖНОГО ПОКРОВА

2019 ◽  
Author(s):  
V.B. Kalmanova
Keyword(s):  
Heavy Metals ◽  
Snow Cover ◽  
Urban Area ◽  
Constructive Method ◽  
Comparative Characteristic ◽  
Ecological State ◽  
Sources Of Pollution ◽  
Mobile Sources ◽  
Arcview Gis ◽  
Very High

В статье представлены результаты исследования экологогеохимического состояния снежного покрова как индикатора качества атмосферного воздуха г. Биробиджана. Выявлены основные природные и антропогенные факторы, предопределяющие экологическое состояние городской территории в зимний период (климатические, планировочная структура, стационарные и мобильные источники загрязнения). Определено, что выбросы основных загрязнителей во время отопительного сезона превышает летний в 6,5 раз. Проведены геохимические исследования снежного покрова на 60 экспериментальных площадках, заложенных в различных функциональных зонах города. Выявлено значительное превышение тяжелых металлов над фоновым уровнем: железа до 60, марганца до 50, меди до 40, цинка до 20, никеля до 12, свинца до 10, кобальта до 6 раз. С 2003 по 2018 годы содержание химических элементов в снеге увеличилось в 2 раза за счет мобильных источников загрязнения, ТЭЦ, котельных. Проведена сравнительная характеристика накопления тяжелых металлов в снеге за 2003 и 2018 годы и установлен ранжированный ряд загрязняющих токсичных веществ. Разработана шкала оценки загрязнения депонирующих сред по суммарному показателю концентрации тяжелых металлов, согласно которой в Биробиджане выявлено 5 уровней загрязнения снежного покрова. В целом экологическое состояние урбанизированной территории признано неудовлетворительным (8 площади территории относится к очень высокому, 14 к высокому, 21 к выше среднему, 27 к среднему уровням загрязнения, 30 к относительно чистым районам города). По полученным результатам разработана карта в программе ArcView GIS Экологогеохимическое районирование территории г. Биробиджана по уровню загрязнения снежного покрова с выделением наиболее загрязненных участков (70 от общей площади города является загрязненной). По результатам проведенных исследований предложены конструктивные методы планирования урбанизированной территории с целью улучшения ее экологического состояния: проведение геомониторинга (контроль загрязнения снежного покрова и своевременный его вывоз на специально оборудованные полигоны). Snow cover is taken as an indicator of air quality using Birobidzhan, a middlesize city in the Russian Far East, as a case study. The main natural and manmade determinants influencing the ecological state of the urban area in winter are identified: climate, a planning structure, and the stationary and mobile sources of pollution. During the heating season the emission of major pollutants exceeds the summer level by 6.5 times. The geochemical study of snow cover was performed at 60 experimental sites in different functional urban areas. A significant excess of heavy metals over the regional background level was revealed: iron up to 60 times, manganese up to 50, copper up to 40, zinc up to 20 , nickel up to 12, lead up to 10, cobalt up to 6 times. From 2003 to 2018 the content of chemical elements in snow increased in 2 times due to the mobile sources of pollution, thermal power plants, and boilers. The comparative characteristic of accumulation of heavy metals in snow for 2003 and 2018 is carried out, and the ranked number of polluting toxic substances is established. The scale of pollution assessment in depositing environments was developed using the cumulative indicator of heavy metal concentration. Five levels of snow cover pollution are found in Birobidzhan: low, moderate, above moderate, high and very high. As a whole, the ecological state of the urban area is considered as unsatisfactory (8 of the area with a very high level of pollution, 14 with high, 21 above moderate, 27 a moderate level of pollution, 30 a relatively clean area). According to the results, a map was developed in the ArcView GIS program Ecological and geochemical zoning of Birobidzhan, using the level of the snow cover pollution with the allocation of the most polluted areas (70 of the total area of the city is polluted). According to the results, a constructive method of planning in an urban area is proposed in order to improve its environmental condition: geomonitoring as a control of pollution in snow cover and its prompt removal to specially equipped landfills.

Peculiarities of snow cover observations with the side-looking radar of the «Sich-1» satellite

1998 ◽  
Vol 4 (2-3) ◽  
pp. 27-33
Author(s):  
V.B. Efimov ◽  
I.A. Kalmykov ◽  
S.E. Yatsevich
Keyword(s):  
Snow Cover ◽  
Side Looking Radar

The Features of Radar Observations of Snow Cover from Space-Borne Carriers

2007 ◽  
Vol 66 (12) ◽  
pp. 1133-1141
Author(s):  
S. Ye. Yatsevich ◽  
V. B. Yefimov ◽  
I. A. Kalmykov
Keyword(s):  
Snow Cover ◽  
Radar Observations
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