scholarly journals Mapping of the current state of forest vegetation in the north Baikal Region based on the merging of remote sensing data and ground observations

Author(s):  
I N Vladimirov ◽  
D V Kobylkin ◽  
A A Sorokovoy
2021 ◽  
Vol 973 (7) ◽  
pp. 21-31
Author(s):  
Е.А. Rasputina ◽  
A.S. Korepova

The mapping and analysis of the dates of onset and melting the snow cover in the Baikal region for 2000–2010 based on eight-day MODIS “snow cover” composites with a spatial resolution of 500 m, as well as their verification based on the data of 17 meteorological stations was carried out. For each year of the decennary under study, for each meteorological station, the difference in dates determined from the MODIS data and that of weather stations was calculated. Modulus of deviations vary from 0 to 36 days for onset dates and from 0 to 47 days – for those of stable snow cover melting, the average of the deviation modules for all meteorological stations and years is 9–10 days. It is assumed that 83 % of the cases for the onset dates can be considered admissible (with deviations up to 16 days), and 79 % of them for the end dates. Possible causes of deviations are analyzed. It was revealed that the largest deviations correspond to coastal meteorological stations and are associated with the inhomogeneity of the characteristics of the snow cover inside the pixels containing water and land. The dates of onset and melting of a stable snow cover from the images turned out to be later than those of weather stations for about 10 days. First of all (from the end of August to the middle of September), the snow is established on the tops of the ranges Barguzinsky, Baikalsky, Khamar-Daban, and later (in late November–December) a stable cover appears in the Barguzin valley, in the Selenga lowland, and in Priolkhonye. The predominant part of the Baikal region territory is covered with snow in October, and is released from it in the end of April till the middle of May.


2019 ◽  
Vol 75 ◽  
pp. 02005
Author(s):  
Elena Fedotova

The current state of the land cover has been estimated in the territories where in different years (1885, 1955, 1995) the forests were damaged by Siberian silkmoth. Dark-needle taiga is restored through the change of tree species. In 20 years in areas of dark-needle taiga there are graminoid communities, in 60 years we have deciduous forests there, and in 130 - dark needle forests, but not everywhere.


2016 ◽  
Vol 24 (1) ◽  
pp. 36
Author(s):  
Undang Hernawan

A coastal zone is the interface between the land and water that influenced by both of them. Coastal dynamic is influenced by many factors from land and sea, such as sedimentation and current. In order to support marine facility, Marine Geological Institute of Indonesia (MGI) plan to build a port. The prospective area is behind MGI office at Cirebon. This study use multi temporal remote sensing data in order to observe trend of coastline change around MGI. Based on the interpretation of the data, there are sedimentation around the MGI water and abrasion due to the presence of Kejawanan’s jetty and Kalijaga River. The result also shows that the current in this region is moving from southeast to northwest. The presence of the Kejawanan’s jetty stymies the movement of sediment. The sediment which is normally moving to the north of the jetty is then trapped on the south side of the structure, so that the sediment precipitates in this region and makes it as the active region of sedimentation and accretion. The presence mangrove conduces to support sedimentation speed and accretion at this region, because of his function as the catchment area. Abrasion occurs in the eastern part of MGI office at the Kalijaga river mouth within the bay. The Kalijaga River mouth is predicted to be the primary source of sedimentation in this area. The coastline change caused by sedimentation will be continuing as long as it is supplied by the sediment. The direction of the sedimentation is parallel to the jetty and it forms ellipsoid, with the sedimentation/accretion region is behind MGI office. The abrasion area is found in Kalijaga River mouth and a small area beside Kalijaga River. In order to build a port, we have to consider this sedimentation process. One of the alternatives to build the port is to make a quay pile model which gives way the current to pass through the other side of the port. Another alternative is to build the port as a pond model but it needs accuracy in building the mouth of jetty to minimize the sedimentation process. Keyword : sedimentation, Cirebon, remote sensing Pantai/pesisir merupakan wilayah antara daratan dan lautan yang masih dipengaruhi oleh keduanya. Dinamika pantai dipengaruhi oleh faktor-faktor dari daratan dan lautan seperti sedimentasi dan arus. Untuk menunjang “marine facility center” Puslitbang Geologi Kelautan (P3GL) bermaksud untuk membangun pelabuhan. Daerah yang prospektif adalah di belakang kantor P3GL, Cirebon. Studi ini menggunakan data citra satelit multi temporal, yang berguna untuk melihat arah perkembangan dan perubahan garis pantai di belakang kantor P3GL dan sekitarnya. Berdasarkan interpretasi data citra, di daerah studi ditemukan adanya daerah akresi/sedimentasi dan daerah abrasi yang disebabkan oleh adanya dermaga Kejawanan dan adanya sungai Kalijaga. Hasil studi juga menunjukkan arah arus umumnya bergerak dari tenggara menuju barat laut. Keberadaan jetty Kejawanan menyebabkan aliran arus dan sedimen terhenti. Sedimen yang seharusnya bergerak ke arah utama menjadi terhalang dan terjebak di bagian selatan jetty, sehingga mengendap di daerah ini. Keadaan ini menyebabkan daerah ini menjadi daerah sedimentasi yang aktif (akresi). Keberadaan mangrove pada daerah ini juga menambah kecepatan sedimentasi di daerah ini, karena berfungsi sebagai daerah tangkapan sedimen. Abrasi terjadi di sebelah timur P3GL, tepatnya pada daerah lengkungan teluk dan di mulut sungai Kalijaga. Daerah mulut sungai Kalijaga diprediksi sebagai sumber sedimen pada daerah ini. Perubahan garis pantai yang disebabkan oleh sedimentasi akan terus berlangsung di daerah ini, selama adanya pasokan sedimen. Sedimentasi ini akan berlangsung sampai arahnya sejajar dengan jetty Kejawanan dan akan membentuk ellipsoid, dengan daerah sedimentasi berada di sekitar jetty dan belakang P3GL sementara daerah abrasi berada di sungai Kalijaga dan daerah sebelahnya. Karena itu, pembangunan pelabuhan P3GL sebaiknya memperhatikan kondisi ini. Salah satu alternatifnya adalah dengan membuat pelabuhan model tiang pancang yang memungkinkan arus dan sedimen untuk bergerak ke sisi sebelahnya. Alternatif lain adalah dalam bentuk kolam pelabuhan, tetapi harus tepat memperhatikan mulut pelabuhan untuk meminimalkan sedimentasi yang terjadi.


2019 ◽  
Vol 943 (1) ◽  
pp. 102-109 ◽  
Author(s):  
A.T. Gizatullin ◽  
N.A. Alekseenko ◽  
V.S. Moiseeva

This article is devoted to the development of an algorithm for the preventive assessment of the fire danger of natural areas using remote sensing data (the preventive natural fire danger assessment algorithm). The problems of the current state of the remote sensing materials use for fires researches as a justification for the need of the algorithm are considered. A review of existing methods and algorithms of natural fire danger assessment is done. The algorithm development includes description of the general structure and the content filling process of different algorithm components. The algorithm is a stages sequence of remote sensing data processing and analysis in terms of fire danger. As a result of algorithm, the fire danger assessment of the observed territory is formed. A special feature of the algorithm is its preventiveness, universality (applicability for any territory), practical automatability (the ability to represent in the form of a program code for the processing of RSD) and flexibility (the ability to add and branch the sequence). In the end, general conclusions and recommendations on the use of the algorithm are given.


2020 ◽  
Author(s):  
Anastasiya Narozhnyaya ◽  
◽  
Yury Chendev ◽  
Aleksander Solovyov ◽  
Maria Lebedeva ◽  
...  

2010 ◽  
Vol 11 (2) ◽  
pp. 253-275 ◽  
Author(s):  
Justin Sheffield ◽  
Eric F. Wood ◽  
Francisco Munoz-Arriola

Abstract The development and evaluation of a long-term high-resolution dataset of potential and actual evapotranspiration for Mexico based on remote sensing data are described. Evapotranspiration is calculated using a modified version of the Penman–Monteith algorithm, with input radiation and meteorological data from the International Satellite Cloud Climatology Project (ISCCP) and vegetation distribution derived from Advanced Very High Resolution Radiometer (AVHRR) products. The ISCCP data are downscaled to ⅛° resolution using statistical relationships with data from the North American Regional Reanalysis (NARR). The final product is available at ⅛°, daily, for 1984–2006 for all Mexico. Comparisons are made with the NARR offline land surface model and measurements from approximately 1800 pan stations. The remote sensing estimate follows well the seasonal cycle and spatial pattern of the comparison datasets, with a peak in late summer at the height of the North American monsoon and highest values in low-lying and coastal regions. The spatial average over Mexico is biased low by about 0.3 mm day−1, with a monthly rmse of about 0.5 mm day−1. The underestimation may be related to the lack of a model for canopy evaporation, which is estimated to be up to 30% of total evapotranspiration. Uncertainties in both the remote sensing–based estimates (because of input data uncertainties) and the true value of evapotranspiration (represented by the spread in the comparison datasets) are up to 0.5 and 1.2 mm day−1, respectively. This study is a first step in quantifying the long-term variation in global land evapotranspiration from remote sensing data.


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