Effects of Seasonal and Perennial Climatic Fluctuations on Geographical Distribution of the Enhanced Vegetation Index EVI of Arable Land in the Bryansk Region

2019 ◽  
Vol 10 (3) ◽  
pp. 669
Author(s):  
Grigory V. LOBANOV ◽  
Marina V. AVRAMENKO ◽  
Anna Yu. CHAROCHKINA ◽  
Nikolay N. DROZDOV
Keyword(s):  
Geographical Distribution ◽  
Vegetation Index ◽  
Agricultural Land ◽  
Humus Content ◽  
Arable Land ◽  
Distribution Patterns ◽  
Climatic Conditions ◽  
Climatic Fluctuations ◽  
Enhanced Vegetation Index ◽  
Lithological Composition

This article discusses the patterns of geographical distribution of the enhanced vegetation index EVI within the Bryansk region (upper Dnieper basin, south-western Russia) in the spring months of 2010-2015. The factors of index distribution, based on agricultural land monitoring data in other regions, are described. The crucial role of abiotic (topography, soil) and biotic factors in the distribution of the EVI is shown. The generalized data of meteorological observations of 2010-2015 are presented; the effects of their high variability on the range of the EVI values and its geographical distribution are shown. Data on the differences in the EVI distribution in the spring months of 2010-2015 is presented, which are explained by the differing periods of phenological seasons, surface relief characteristics (flat and convex watersheds, drainage conditions), lithological composition and humus content in the upper horizons of arable soil. A qualitative relationship between spring changes in the EVI for arable land and the combination of edaphic factors of agro-landscape functioning is established and the mechanisms that ensure such differences are presented. The use of the EVI distribution patterns is justified in the years with different climatic conditions to identify arable lands with different surface topography and soil characteristics.

scholarly journals SEASONAL AND LONG-TERM CHANGES OF VEGETATION INDEX OF ARABLE LANDS OF BRYANSK REGION (CENTRAL RUSSIA): REGULARITIES AND DYNAMICS FACTORS

2020 ◽  
Vol 17 (34) ◽  
pp. 745-755
Author(s):  
Grigory V LOBANOV ◽  
Marina V AVRAMENKO ◽  
Alina P PROTASOVA ◽  
Nikolai N DROZDOV
Keyword(s):  
Vegetation Index ◽  
Humus Content ◽  
Arable Land ◽  
Vegetation Indices ◽  
Climatic Fluctuations ◽  
The Sustainable Development ◽  
Central Russia ◽  
Long Term Changes ◽  
Agricultural Use

There are a number of different factors that affect the sustainable development of agriculture. Efficient use of land and water resources, taking into account the threats that may arise due to climate change, as well as the dynamics of plant growth and development. Vegetation indices play an important role in monitoring vegetation variations. This article provides information on seasonal and long-term changes in the EVI (Enhanced Vegetation Index) of arable land in the Bryansk region. The purpose of the article is to discern the course of the seasonal dynamics of the index, the ranges of its variability, probable causes of differences between 2000-2018. In this article, physicochemical research methods were used to calculate the humus content, surface topography characteristics, and agricultural use features based on cartographic and stock materials, and the soil composition and density were determined through fieldwork. Summarized material on changes in EVI values for a snowless period as a whole and for individual filming intervals (18 per year) in 2000-2018 is presented. The mechanism of the influence of a variety of edaphic vegetation conditions on smoothing the differences in EVI over a series of years with different meteorological conditions has been described. The results of the analysis of the factors of the long-term dynamics are presented, the role of short-term climatic fluctuations, a progressive decrease in the amount of precipitation, and changes in the species composition of grain crops in the long-term dynamics of EVI are demonstrated.

Analiza modului de utilizare a terenurilor în Regiunea de Dezvoltare Nord a Republicii Moldova

2020 ◽  
Author(s):  
Iurie Bejan ◽  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Arable Land ◽  
Current Mode ◽  
Climatic Conditions ◽  
Development Region ◽  
Agro Forestry

The land use has undergone some changes in the last 30 years, by reducing the areas with arable land, converting multi-annual plantations into other categories of land, etc. According to the current mode of land use, the Northern Development Region has a pronounced agricultural profile - 80.3% of the total area represents agricultural land. The spatial differentiations regarding the morphological and agro-climatic conditions allowed the identification within the region of areas with agro-forestry and agro-pastoral specializations.

scholarly journals Deriving Annual Double-Season Cropland Phenology Using Landsat Imagery

2020 ◽  
Vol 12 (20) ◽  
pp. 3275
Author(s):  
Tong Qiu ◽  
Conghe Song ◽  
Junxiang Li
Keyword(s):  
Spatial Resolution ◽  
Security Policy ◽  
Vegetation Index ◽  
Agricultural Land ◽  
Crop Yields ◽  
Landsat Imagery ◽  
Agricultural Practices ◽  
In Situ Observation ◽  
Enhanced Vegetation Index ◽  
Phenological Metrics

Cropland phenology provides key information in managing agricultural practices and modelling crop yield. However, most of the existing phenological products have coarse spatial resolution ranging from 250 to 8000 m, which is not sufficient to capture the critical spatial details of cropland phenology at the landscape scale. Landsat imagery provides an unprecedented data source to generate 30-m spatial resolution phenological products. This paper explored the potential of utilizing multi-year Landsat enhanced vegetation index to derive annual phenological metrics of a double-season agricultural land from 1993 to 2009 in a sub-urban area of Shanghai, China. We used all available Landsat TM and ETM+ observations (538 scenes) and developed a Landsat double-cropping phenology (LDCP) algorithm. LDCP captures the temporal trajectory of multi-year enhanced vegetation index time series very well, with the degree of fitness ranging from 0.78 to 0.88 over the study regions. We found good agreements between derived annual phenological metrics and in situ observation, with root mean square error ranging from 8.74 to 18.04 days, indicating that the proposed LDCP is capable of detecting double-season cropland phenology. LDCP could reveal the spatial heterogeneity of cropland phenology at parcel scales. Phenology metrics were retrieved for approximately one-third and two-thirds of the 17 years for the first and second cropping cycles, respectively, depending on the number of good quality Landsat data. In addition, we found an advanced peak of season for both cropping cycles in 50–60% of the study area, and a delayed start of season for the second cropping cycle in 50–70% of the same area. The potential drivers of those trends might be climate warming and changes in agricultural practices. The derived cropland phenology can be used to help estimate historical crop yields at Landsat spatial resolution, providing insights on evaluating the effects of climate change on temporal variations of crop growth, and contributing to food security policy making.

scholarly journals GIS support for monitoring agricultural land in the land management system (on the example of the Volgograd region)

2021 ◽  
Vol 27 (4) ◽  
pp. 57-65
Author(s):  
Elena Denisova ◽  
Viktoria Silova
Keyword(s):  
Agricultural Landscape ◽  
Agricultural Land ◽  
Humus Content ◽  
Climatic Conditions ◽  
Actual State ◽  
Natural Systems ◽  
Volgograd Region ◽  
Long Time ◽  
Land Management System ◽  
Harsh Conditions

The lack of an up-to-date cartographic basis leads to uncontrolled land turnover, does not reflect their real state and use, thereby leading to the destruction and degradation of not only individual components of the agricultural landscape, but also entire natural systems. Agrolandscape is a complex ecological system that, under harsh conditions of consumption, loses its ability to self-repair and regulate for a very long time. And each of its components needs to be accounted for, monitored, and protected. Geoinformation monitoring ensures the sustainability of both individual components and the entire agricultural landscape, contributes to the formation of effective agriculture and land use, increases the productivity of land and prevents the development of degradation processes. Monitoring of the territory of the Kislovsky rural settlement of the Bykovsky district of the Volgograd region according to 2004 data does not reflect the actual state and order of use of agricultural land and forest resources. The boundaries and areas of dehumified land have changed, and within the boundaries of the forest fund, according to Roseyestr, there are land plots with cadastral numbers ZU 34:02:010001:185, ZU 34:02:010001:104, ZU 34:02:010001:100, with an area of 2.7 hectares each for agricultural production. The area of forest areas has decreased from 576 ha to 484 ha or 16 %, the humus content in the soils is low—1.7 %, which is critical in the agro-climatic conditions of the Volgograd region. The location of agricultural land plots within the boundaries of the forest fund lands contradicts the land legislation, violates the safety and integrity of forest stands, leads to degradation, desertification and destruction of the ecological framework.

scholarly journals Changes in Organic Carbon Pool in Agricultural Soils and its Different Development in Individual Agro-Climatic Regions of Slovakia

2013 ◽  
Vol 59 (1) ◽  
pp. 9-20
Author(s):  
Gabriela Barančíková ◽  
Jarmila Makovníková ◽  
Rastislav Skalský ◽  
Zuzana Tarasovičová ◽  
Martina Nováková ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Agricultural Land ◽  
Agricultural Soils ◽  
Arable Land ◽  
Climatic Conditions ◽  
Soil Productivity ◽  
Climatic Regions ◽  
Basic Parameters ◽  
Rothc Model ◽  
Soc Stock

Soil organic carbon (SOC) is one of the basic parameters of soil productivity and quality. Generally soil has potential to sequestrate or release organic carbon depending on land use/management and climatic conditions. The main aim of this article is to show changes in SOC in agricultural land of Slovakia over almost the last 40 years on the basis of modelling data of SOC stock by the RothC model and unequal development of SOC stock on agro-climatic regions of Slovakia. The results received show that average SOC stock [t/ha] in Slovakia is higher on grasslands in comparison to arable land. However, total SOC pool (t) in top of 0.2 m of soil on the modelling area of agricultural Slovak land shows that a considerable part of SOC stock is located in arable land and is approximately four times greater than on grasslands because the arable land represents about 80% of the modelling area. In the first modelling period (1970-1994), the SOC stock gradually increased, but in the second modelling period (1995-2007) no significant changes in SOC stock on the arable land were observed. In the southwest part of Slovakia, increasing of SOC stock during all modelling periods was observed; however, in the northeast part a slight increase of SOC stock only in the first modelling period (1970-1994) was found and in the second modelling period (1995-2007) decrease of SOC accumulation was observed. The results of this statistical analysis show significant relationship between carbon input/SOC stock as independent variables and agro-climatic regions as dependent variable.

Seasonal and Long-Term Features of the Distribution of the Vegetation Index NDVI on Arable Lands in Bryansk Region

2018 ◽  
Vol 9 (1) ◽  
pp. 34
Author(s):  
Gregory V. LOBANOV ◽  
Boris V. TRISHKIN ◽  
Marina V. AVRAMENKO ◽  
Anna Yu. CHAROCHKINA ◽  
Alina P. PROTASOVA
Keyword(s):  
Seasonal Dynamics ◽  
Vegetation Index ◽  
Humus Content ◽  
Arable Land ◽  
Vegetation Indices ◽  
Vegetation Period ◽  
Surface Slope ◽  
Mean Values ◽  
Complex Ratio

The features of the multi-year distribution of vegetation indices are considered as an indicator of the favorable conditions for farming, the correspondence of the set of crops with the soil, geomorphological, microclimatic characteristics of the agrolandscape. The authors presented methodical problems of using information about NDVI for remote determination and monitoring of soil properties through bioproductivity. Methods of collecting and systematizing information on the seasonal and long-term dynamics of NDVI (according to MODIS data) and some factors of the spatial distribution of its mean values were used for a detailed study of the issue. The possible mechanisms of influence of the surface slope (the values are determined by SRTM), the average humus content, the mechanical strength of soils on the NDVI distribution were shown. Information on NDVI arable land changes in the Bryansk region in the years with different meteorological conditions (2010-2015) was given. The general features of NDVI seasonal dynamics within the vegetation period were described – from late March to early November. The influence of meteorological factors on the distribution of NDVI was determined. Synchronous differences in the dynamics of NDVI for groups of arable land plots homogeneous in the state of the surface slope and agrotechnical characteristics of soils were justified from the position of seasonal dynamics of landscapes. A complex ratio of the significance of groups of factors was shown, possible models for explaining their differences in space and time were proposed.

scholarly journals Assessing damages of agricultural land due to flooding in a lagoon region based on remote sensing and GIS: case study of the Quang Dien district, Thua Thien Hue province, central Vietnam

2020 ◽  
Vol 12 (2) ◽  
pp. 100-107
Author(s):  
Ngoc Bich NGUYEN ◽  
Ngu Huu NGUYEN ◽  
Duc Thanh TRAN ◽  
Phuong Thi TRAN ◽  
Tung Gia PHAM ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Surface ◽  
Vegetation Index ◽  
Agricultural Land ◽  
Viet Nam ◽  
Enhanced Vegetation Index ◽  
Water Index ◽  
Land Surface Water ◽  
Central Vietnam ◽  
Sentinel 2

This study aims to create a flood extent map with Sentinel imagery and to evaluate impacts on agricultural land in the lagoon region of central Vietnam. In this study, remote sensing images, obtained from 2017 to 2019, were used to simultaneously map the land cover status of a flood in the Quang Dien district. This study highlights flooded areas from Sentinel-2 images by calculating some indicators such as the Land Surface Water Index (LSWI) and the Enhanced Vegetation Index (EVI). Comparisons between the floodplain samples (GPS point-based) and flood mapping results, with the ground-truth data, indicate that the overall accuracy and Kappa coefficients were 97.9% and 0.62 respectively for 2017; the values for 2019 were 95.7% and 0.77 for the same coefficients. Land use maps overlying the flood-affected maps show that approximately 11% of the agriculture land area was affected by floods in 2019 comparison to a 10% in 2017. Wet rice was the most affected crop with the flooded area accounting for more than 70% of the district under each flood event. The most affected communes are: Quang An, Quang Phuoc and Quang Thanh. This study provides valuable information for flood disaster planning, mitigation and recovery activities in Vietnam. Mục tiêu của nghiên cứu là lập bản đồ phân bố ngập lụt với hình ảnh vệ tinh Sentinel và đánh giá ảnh hưởng ngập lụt đến sử dụng đất nông nghiệp ở vùng đầm phá miền Trung, Việt Nam. Trong nghiên cứu này, ảnh viễn thám thu nhận giai đoạn 2017- 2019 được sử dụng để xây dựng bản đồ hiện trạng sử dụng đất tại thời điểm bị ngập nước trên địa bàn huyện Quảng Điền. Nghiên cứu đã xác định được vùng ngập lụt ở huyện Quảng Điền bằng phương pháp phân loại chỉ số mặt nước (Land Surface Water Index – LSWI) và chỉ số khác biệt thực vật (Enhanced Vegetation Index-EVI) từ ảnh Sentinel-2. Xác định vùng nước lũ bị che khuất bởi mây bằng mô hình số hóa độ cao (DEM). Kết quả phân loại vùng ngập lụt được so sánh với giá trị tham chiếu mặt đất cho thấy độ chính xác tổng thể và hệ số Kappa đạt được trong năm 2017 là 97,9% và 0,62; trong khi năm 2019 đạt 95,7% và 0.77. Bản đồ sử dụng đất chồng lên bản đồ lũ lụt cho thấy khoảng 11% diện tích đất nông nghiệp bị ảnh hưởng bởi lũ lụt năm 2019 so với 10% năm 2017. Cây lúa nước là cây trồng bị ảnh hưởng nặng nề nhất, với diện tích bị ngập lụt chiếm hơn 70% diện tích lúa của huyện. Các xã bị ngập lớn là xã Quảng An, Quảng Phước và Quảng Thành. Nghiên cứu này cung cấp thông tin có giá trị cho các hoạt động lập kế hoạch, giảm nhẹ và phục hồi thiên tai lũ lụt ở Việt Nam.

scholarly journals Use of Landsat EVI in Determining the Degradation of Agroirriation Landscapes Adjacent to the Aydar-Arnasay Lakes System

2021 ◽  
Author(s):  
Nilufar Sabirova ◽  
Michael GROLL ◽  
Subkhan ABBASOV
Keyword(s):  
Water Level ◽  
Vegetation Index ◽  
Agricultural Land ◽  
Arable Land ◽  
Degradation Process ◽  
Soil Salinization ◽  
Drainage Water ◽  
Landsat 8 ◽  
Lake System ◽  
Tier 1

Abstract The Arnasay depression in Central Uzbekistan received large quantities of drainage water leading to the formation of the Aydarkul-Arnasay Lake System (AALS). The water level of the AALS drastically increased in 1969, when a flood in the nearby Syrdarya River basin could not be contained in the Chardarya reservoir, and today it occupies an area of 4000 km² of the Mirzachul and Kyzylkum desert. Increasing the lake’s water level also affects the surrounding agricultural land, further enhancing the level of groundwater and soil salinization. But the irrigated farming areas also influence the lake system due to the pollution of the drainage water discharged into the lake. As a result, both the arable land and the lake system are in a process of degradation, leading to reduced productivity and a variety of ecological problems. We used more of the remote sensing method in determining the degradation process in agroirrigation landscapes. Landsat EVI (Enhanced vegetation index) extremely resistant to various atmospheric resistances (aerosols). It monitors plants with very high sensitivity even in low biomass areas. Landsat has 4,5,7,8 series programs. Herein, we used Landsat-5 TM Collection 1 Tier 1 32-Day EVI and Landsat-8 ETM + Collection 1 Tier 1 32-Day EVI. To classify the degradation process in agroirrigation landscapes around the lake, we compared Landsat EVI images from March-April, May-June, June-July, Ilyul-August, August-September. We selected July-August as the optimal month to determine the perennial degradation process.

scholarly journals Land Use Favourability Assessment Based on Soil Characteristics and Anthropic Pollution. Case Study Somesul Mic Valley Corridor, Romania

Agronomy ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1245 ◽  
Author(s):  
Ioan Matei ◽  
Ioan Pacurar ◽  
Sanda Rosca ◽  
Stefan Bilasco ◽  
Paul Sestras ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Pollution ◽  
Agricultural Land ◽  
Climatic Factors ◽  
Arable Land ◽  
Climatic Conditions ◽  
Economic Activities ◽  
Gis Technology

The Someș Corridor, located in the central Transylvanian region of Romania, is a territory characterised by favourable conditions for habitation and land use with agricultural purposes, offering suitable premises for the development of the settlements and the economic activities taking place in the area. This study aims to identify the parcels of land from outside the built-up area, which can be used as arable land, this particular use being pursued due to the favourability induced by the pedological resources, the morphometrical characteristics of the Someș floodplain and, last but not least, the climatic conditions. GIS technology has been used, enabling the management of the databases representing soil, topography and climatic factors, and thus obtaining the classification of all land parcels using favourability classes for agricultural land use. In order to perform a correct favourability classification, the degree of soil pollution and groundwater pollution have been analysed, using chemical tests of water and soil profiles taken in the area of former abandoned industrial platforms, which are intended to be reintroduced in the local economic use. The highest degree of soil pollution with ammonium and sulphates has been identified in the industrial park from Dej city, on the territory of the former industrial platform of the paper factory, this pollution modifying the quality scores of arable land use, despite the fulfilment of favourable climatic and topographic conditions.

scholarly journals Ecological and Agrochemical Assessment of the Kamennaya Steppe Soils under Forest Cenosis

2021 ◽  
pp. 76-91
Author(s):  
Yuriy I. Cheverdin ◽  
◽  
Vladimir A. Bespalov ◽  
Tatyana V. Titova ◽  
Marina Yu. Sautkina ◽  
...  
Keyword(s):  
Humus Content ◽  
Arable Land ◽  
Climatic Conditions ◽  
Forest Belt ◽  
Soil Horizons ◽  
Erosion Processes ◽  
Kamennaya Steppe ◽  
Humus Layer ◽  
Forest Belts ◽  
Regions Of Russia

A set of parameters of soils under forest belts was studied. The objects of research were old-growth (65–68 yrs) ravine and shelterbelt forest plantations of the Kamennaya Steppe. The results allow assessing the trends of changes in soil characteristics over a long period of time. Key plots of 100×100 m were laid out using a regular sampling grid. The sampling interval is 15–25 m. A positive effect of forest shelterbelts on the properties of chernozems was found. There is an increase in thickness of the humus horizon from 42.3 cm (arable land on the slope) to 72.6±5.1 cm (under forest). The maximum values are typical for chernozems of watershed areas: 59.6±2.4 cm (arable land) and 85.6±3.9 cm (forest belt). Chernozems leached due to the activation of migration processes of carbonates into the underlying soil horizons have the maximum depth of soil effervescence. Chernozems zooturbated due to mechanical transport and mixing of accumulative-carbonate horizon have the lowest depth of soil effervescence. A general trend to decrease the depth of soil effervescence under the forest cenosis was found. The highest humus content is observed in watershed areas: 7.14±0.24 % (arable land) and 8.56±0.18 % (forest belt). A ravine forest belt reduces the risk of erosion processes. A fairly strong humus profile with a high content of organic matter: 7.03±0.27% (under forest) and 6.10±0.10% (on arable land), was possible to preserve on arable lands in the zone of the belt’s influence. The planting of forest belts causes a change in the nature of vegetation. The influence of acidic products of litter decomposition formed soil horizons with a moderately acidic reaction of the environment in the humus layer. Despite the leading position of calcium, an increased content of magnesium was found in the composition of exchange-absorbed cations. Forest belts have become especially important in recent decades due to changing climatic conditions. In the steppe regions of Russia, such plantations are a powerful soil conservation factor that helps stabilize and increase soil fertility. It is necessary to intensify the planting of artificial forest stands in the steppe regions of Russia. For citation: Cheverdin Yu.I., Bespalov V.A., Sautkina M.Yu., Titova T.V. Ecological and Agrochemical Assessment of the Kamennaya Steppe Soils under Forest Cenosis. Lesnoy Zhurnal [Russian Forestry Journal], 2021, no. 5, pp. 76–91. DOI: 10.37482/0536-1036-2021-5-76-91

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