scholarly journals STUDY OF THE TEMPERATURE CONDITION OF SURFACE WATERS OF NOVOTROITSKY RESERVOIR BASED ON REMOTE SENSING DATA AND EVALUATION OF ITS IMPACT ON FISH GROWTH AND DEVELOPMENT

2018 ◽  
Vol 13 (3) ◽  
pp. 150-158
Author(s):  
Evgeniy G. Mishvelov ◽  
Ivan A. Bakumenko ◽  
Anatoliy F. Shevkhuzhev ◽  
Vladimir A. Pogodaev
Keyword(s):  
Remote Sensing ◽  
Surface Water ◽  
Surface Waters ◽  
Growth And Development ◽  
Water Surface ◽  
Water Reservoir ◽  
Remote Sensing Data ◽  
Water Area ◽  
Temperature Fields ◽  
Summer Period

Aim. The aim of the study is to analyze and reveal the features of the temperature regime of the Novotroitsky water reservoir surface based on remote sensing data; to determine the influence of the temperature regime of the surface waters of Novotroitsky reservoir on the ecological state of the reservoir, as well as to determine the areas of the surface water zones of the Novotroitsky reservoir with optimal and unfavorable temperature conditions for fish. Methods. The temperature values of the earth's surface (water area) were calculated according to the generally accepted methodology. Its essence lies in the fact that the calculation of the earth's surface temperature is performed after radiometric calibration of the images and compensation of the effect of the optical density of the atmosphere taking into account the emissivity of various objects on the earth's surface. The calculations were performed separately for the 10 and 11 channels of images from the Landsat 8 satellite, and then averaged. Results. Were established the quantitative characteristics of the inhomogeneity of the temperature fields of the water surface of Novotroitsky reservoir during the summer period due to discharges of the heated waters of the Stavropol GRES power plant. The peculiarities of the spatial variability of the temperature fields of the Novotroitsky water reservoir surface in summer season were revealed. It is shown that the use of the Novotroitsky water reservoir as a reservoir-cooler is potentially accompanied by the development of eutrophication processes and creation of risks for drinking purposes, as well as cultural, household and fishery use. The table shows the data demonstrating the temperature condition of the Novotroitsky reservoir water surface. The figure shows the temperature fields of the surface of the Novotroitsky water reservoir. Conclusions. In summer period, half of the water area of the Novotroitsky water reservoir can be attributed to the zones of optimum temperatures for the juvenile pikeperch. Were revealed the periods when the reservoir becomes practically unsuitable for growth and development of juveniles of oxyphilic fish. Excessive rise of water temperature in summer was established in accordance with SanPiN (Sanitary Rules and Regulations) 2.1.5.980-00.2.1.5. Such an increase in temperature is observed in 13-16% of the whole water area.

scholarly journals Lake Chad Total Surface Water Area as Derived from Land Surface Temperature and Radar Remote Sensing Data

2018 ◽  
Vol 10 (2) ◽  
pp. 252 ◽  
Author(s):  
Frederick Policelli ◽  
Alfred Hubbard ◽  
Hahn Jung ◽  
Ben Zaitchik ◽  
Charles Ichoku
Keyword(s):  
Remote Sensing ◽  
Surface Water ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Remote Sensing Data ◽  
Water Area ◽  
Radar Remote Sensing ◽  
Lake Chad ◽  
Sensing Data

scholarly journals Monitoring monthly surface water dynamics of Dongting Lake using Sentinal-1 data at 10 m

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4992 ◽  
Author(s):  
Liwei Xing ◽  
Xinming Tang ◽  
Huabin Wang ◽  
Wenfeng Fan ◽  
Guanghui Wang
Keyword(s):  
Surface Water ◽  
Water Distribution ◽  
Remote Sensing Data ◽  
Water Area ◽  
Dongting Lake ◽  
Water Dynamics ◽  
High Temporal Resolution ◽  
Backscattering Coefficient ◽  
Distribution Maps ◽  
Lower Accuracy

High temporal resolution water distribution maps are essential for surface water monitoring because surface water exhibits significant inner-annual variation. Therefore, high-frequency remote sensing data are needed for surface water mapping. Dongting Lake, the second-largest freshwater lake in China, is famous for the seasonal fluctuations of its inundation extents in the middle reaches of the Yangtze River. It is also greatly affected by the Three Gorges Project. In this study, we used Sentinel-1 data to generate surface water maps of Dongting Lake at 10 m resolution. First, we generated the Sentinal-1 time series backscattering coefficient for VH and VV polarizations at 10 m resolution by using a monthly composition method. Second, we generated the thresholds for mapping surface water at 10 m resolution with monthly frequencies using Sentinel-1 data. Then, we derived the monthly surface water distribution product of Dongting Lake in 2016, and finally, we analyzed the inner-annual surface water dynamics. The results showed that: (1) The thresholds were −21.56 and −15.82 dB for the backscattering coefficients for VH and VV, respectively, and the overall accuracy and Kappa coefficients were above 95.50% and 0.90, respectively, for the VH backscattering coefficient, and above 94.50% and 0.88, respectively, for the VV backscattering coefficient. The VV backscattering coefficient achieved lower accuracy due to the effect of the wind causing roughness on the surface of the water. (2) The maximum and minimum areas of surface water were 2040.33 km2in July, and 738.89 km2in December. The surface water area of Dongting Lake varied most significantly in April and August. The permanent water acreage in 2016 was 556.35 km2, accounting for 19.65% of the total area of Dongting Lake, and the acreage of seasonal water was 1525.21 km2. This study proposed a method to automatically generate monthly surface water at 10 m resolution, which may contribute to monitoring surface water in a timely manner.

Response of Rice Ecological Indicators to Water Consumption Based on Multi-source Data in Irrigation District Scale

2020 ◽  
Author(s):  
Junming Yang ◽  
Yunjun Yao ◽  
Ke Shang ◽  
Xiaozheng Guo ◽  
Xiangyi Bei ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Spatial Resolution ◽  
Temporal Resolution ◽  
Water Consumption ◽  
Growth And Development ◽  
Vegetation Index ◽  
Remote Sensing Data ◽  
Fusion Method ◽  
Development Stages ◽  
The Relationship

<p>The study of law of crop water consumption in small scale such as irrigation area requires remote sensing image data with high spatial and temporal resolution, however, remote sensing images that possess both high temporal and spatial resolution cannot be obtained for technical reasons. To solve the problem, this paper present a multisource remote sensing data spatial and temporal reflectance fusion method based on fuzzy C clustering model (FCMSTRFM) and multisource Vegetation index (VI) data spatial and temporal fusion model (VISTFM), the Landsat8 OLI and MOD09GA data are combined to generate high spatial and temporal resolution reflectance data and the landsat8 OLI, MOD09GA and MOD13Q1 data are combined to generate high spatial and temporal resolution normalized vegetation index (NDVI) and enhanced vegetation index (EVI) data.</p><p>The rice area is mapped by spectral correlation similarity (SCS) between standard series EVI curve that based the EVI generated by VISTFM and average value of each EVI class that generated by classing Multiphase EVI into several class, the extraction results are verified by two methods: ground sample and Google Earth image. high spatial and temporal resolution Leaf area index (LAI) that covered the mainly rice growth and development stages is generated by higher precision method between artificial neural network and equation fitting that establish the relationship between NDVI, EVI and LAI. The yield of rice in the spatial scale is generated by establishing the relationship between yield and LAI of the mainly growth and development stages that has the maximum correlation with yield. Daily high spatial resolution evapotranspiration is generated by using multisource remote sensing data spatial and temporal reflectance fusion method to fusion the MODIS-like scale and Landsat-like scale evapotranspiration that generated by The Surface Energy Balance Algorithm for Land (SEBAL). Based on the data, the evapotranspiration, LAI and yield of rice, obtained by remote sensing methods, rice water growth function is established by Jensen, Blank, Stewart and Singh model.</p>

scholarly journals ANALYSIS OF THE GEOECOLOGICAL SITUATION IN KALUSH: CURRENT SITUATION AND WAYS OF SOLVING THE PROBLEM

2021 ◽  
Vol 47 (4) ◽  
pp. 170-180
Author(s):  
Pavlo Zhyrnov ◽  
Olha Tomchenko ◽  
Iryna Pidlisetska ◽  
Olena Mykolaienko
Keyword(s):  
Remote Sensing ◽  
Surface Water ◽  
Economic Activity ◽  
Remote Sensing Data ◽  
Potassium Salts ◽  
Geological Processes ◽  
Study Results ◽  
State Enterprises ◽  
The City ◽  
Negative Phenomena

Careless economic activity of chemical and mining enterprises of the Kalush-Holyn potassium salts deposit has caused ecological disbalance in a subsurface rock layers. This caused a technogenic disaster in Kalush such as the intensification of dangerous geological processes: flooding and waterlogging of lands, intensification of karst and suffusion processes, deterioration of groundwater and surface water. The study results of the geoecological situation in Kalush using research reports’ materials of the specialized state enterprises and relevant thematic maps; and interpretation of remote sensing data are higlighted in the article. Comprehensive map of the geoecological situation of Kalush was developed in order to visualize the processes associated with the deformation of the earth’s surface in the area of Kalush and other negative phenomena that must be taken into account when planning the development of the city.

scholarly journals Influence of invader ctenophores on bioluminescence variability off the coast of Western Crimea

2020 ◽  
Vol 5 (2) ◽  
pp. 67-75
Author(s):  
A. V. Melnik ◽  
V. V. Melnikov ◽  
L. A. Melnik ◽  
O. V. Mashukova
Keyword(s):  
Remote Sensing ◽  
Black Sea ◽  
Coastal Waters ◽  
Remote Sensing Data ◽  
Water Area ◽  
Mnemiopsis Leidyi ◽  
Surface Water Temperature ◽  
Pelagic Ecosystem ◽  
The Past ◽  
Beroe Ovata

In the second half of the XX century, Black Sea ecosystem has undergone significant changes: a number of storm winds and upwellings decreased, precipitation abundance increased, coastal waters salinity decreased, temperature increased; moreover, ctenophores invaded. As a result, in the late 1980s, Black Sea pelagic ecosystem abruptly got restructured. This research is based on the studies performed in 1965–1966 and 2007–2012 near Sevastopol (Western Crimea) using the remote sensing data. Analysis of satellite data over the past 20 years showed the presence of positive dynamics in surface water temperature in Sevastopol water area. In the mid-1960s, the annual bioluminescence was characterized by seasonal peaks of dinophytes luminescence. In recent years, this rhythm has changed due to ctenophores invasion. The increase in Mnemiopsis leidyi abundance leads to a decrease in bioluminescence of luminous microalgae being consumed by these ctenophores. Due to Beroe ovata invasion and reproduction, M. leidyi biomass decreased; as a result, bioluminescence increased.

scholarly journals Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data

2015 ◽  
Vol 7 (12) ◽  
pp. 16688-16732 ◽  
Author(s):  
Ronny Schroeder ◽  
Kyle McDonald ◽  
Bruce Chapman ◽  
Katherine Jensen ◽  
Erika Podest ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Surface Water ◽  
Remote Sensing Data ◽  
Microwave Remote Sensing ◽  
Passive Microwave ◽  
Data Set ◽  
Passive Microwave Remote Sensing ◽  
Sensing Data ◽  
Fractional Surface
Sign in / Sign up

Export Citation Format

Share Document