scholarly journals Farm Parcel Extraction in High Resolution Remote Sensing Image Based on Hierarchical Spectrum and Shape Features

2022 ◽  
Author(s):  
Bangyu Li
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Image Segmentation ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Extreme Weather Events ◽  
Labor Costs ◽  
Accuracy Rate ◽  
Binary Segmentation ◽  
Segmentation Image

Abstract Background: Land-use classification schemes typically address both land use and land cover. Vectorized data extracted from farm parcel segmentation provides important cadastral data for the formulation and management of climate change policies. It also provides important basic data for research on pest control in large areas, crop yield forecasts, and crop varieties classification. It can also be used for the assessment of compensation for damages related to extreme weather events by the agricultural insurance department. Firstly, we investigate the effectiveness of an automated image segmentation method based on TransUNet architecture to enable that automate the task of farm parcel delineation that originally relied on high labor costs. Then, post-processing by vectoring binary segmentation image, which the area and regularity parameter to adjust the accuracy of segmentation, can get a more optimized image segmentation result.Results: The results on the existing data show that the automatic segmentation system we proposed is a method that can effectively divide various types of agricultural land. The system was trained and evaluated using 94780 images. The performance parameters obtained showed that the accuracy rate reached 83.31%, the recall rate reached 82.13%, the F1-S rate was 80.37%, the total accuracy rate was 82.23%, and Iou was 80.39%. At the same times, without losing too much accuracy, we train and test the model with 3m resolution image, which has the advantage of processing speed than 0.8m resolution. Therefore, our proposed method can be effectively applied to the task of extraction of agricultural land, which is better and more efficient than most manual annotations.Conclusions: We have demonstrated the effectiveness of strategy using a TransUNet architecture and postprocessing by vectoring binary segmentation for farm parcel extraction in high remote sensing images. The success of our approach is also a demonstration of feasibility of the deep learning to participate in and improve agricultural production activities, which is important for achieving scientific management of agricultural production.

scholarly journals Spatial-Temporal Land Use and Land Cover Changes in Urban Areas Using Remote Sensing Images and GIS Analysis: The Case Study of Opole, Poland

Geosciences ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 312
Author(s):  
Barbara Wiatkowska ◽  
Janusz Słodczyk ◽  
Aleksandra Stokowska
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Landsat 8 ◽  
Rate Of Increase ◽  
Management Procedures

Urban expansion is a dynamic and complex phenomenon, often involving adverse changes in land use and land cover (LULC). This paper uses satellite imagery from Landsat-5 TM, Landsat-8 OLI, Sentinel-2 MSI, and GIS technology to analyse LULC changes in 2000, 2005, 2010, 2015, and 2020. The research was carried out in Opole, the capital of the Opole Agglomeration (south-western Poland). Maps produced from supervised spectral classification of remote sensing data revealed that in 20 years, built-up areas have increased about 40%, mainly at the expense of agricultural land. Detection of changes in the spatial pattern of LULC showed that the highest average rate of increase in built-up areas occurred in the zone 3–6 km (11.7%) and above 6 km (10.4%) from the centre of Opole. The analysis of the increase of built-up land in relation to the decreasing population (SDG 11.3.1) has confirmed the ongoing process of demographic suburbanisation. The paper shows that satellite imagery and GIS can be a valuable tool for local authorities and planners to monitor the scale of urbanisation processes for the purpose of adapting space management procedures to the changing environment.

scholarly journals Changes in Coastal Agricultural Land Use in Response to Climate Change: An Assessment Using Satellite Remote Sensing and Household Survey Data in Tien Hai District, Thai Binh Province, Vietnam

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 627
Author(s):  
Duong H. Nong ◽  
An T. Ngo ◽  
Hoa P. T. Nguyen ◽  
Thuy T. Nguyen ◽  
Lan T. Nguyen ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Management Strategies ◽  
Household Survey ◽  
Extreme Weather Events ◽  
Agricultural Land Use ◽  
Landsat 8 ◽  
Land Uses

We analyzed the agricultural land-use changes in the coastal areas of Tien Hai district, Thai Binh province, in 2005, 2010, 2015, and 2020, using Landsat 5 and Landsat 8 data. We used the object-oriented classification method with the maximum likelihood algorithm to classify six types of land uses. The series of land-use maps we produced had an overall accuracy of more than 80%. We then conducted a spatial analysis of the 5-year land-use change using ArcGIS software. In addition, we surveyed 150 farm households using a structured questionnaire regarding the impacts of climate change on agricultural productivity and land uses, as well as farmers’ adaptation and responses. The results showed that from 2005 to 2020, cropland decreased, while aquaculture land and forest land increased. We observed that the most remarkable decreases were in the area of rice (485.58 ha), the area of perennial crops (109.7 ha), and the area of non-agricultural land (747.35 ha). The area of land used for aquaculture and forest increased by 566.88 ha and 772.60 ha, respectively. We found that the manifestations of climate change, such as extreme weather events, saltwater intrusion, drought, and floods, have had a profound impact on agricultural production and land uses in the district, especially for annual crops and aquaculture. The results provide useful information for state authorities to design land-management strategies and solutions that are economic and effective in adapting to climate change.

scholarly journals ANALISIS SINERGITAS TARIK ULUR KEPENTINGAN DALAM PRODUKSI PERTANIAN DAN JASA LINGKUNGAN

AGRICA ◽  
2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Agustinus JP Ana Saga
Keyword(s):  
Land Use ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Intensive Agriculture ◽  
Environmental Services ◽  
Land Capability ◽  
Survey Results ◽  
Earthworm Biomass ◽  
Intensive Land Use ◽  
Earthworm Populations

Synergi analysis of the tugging of interest  in agricultural production and envirometal services. Conversion of land functions into intensive agriculture can cause degradation or declining land capability. This is because farmers' orientation is always on production and ignoring environmental services. Intensive agriculture always causes environmental problems, resulting in a tug of war in agricultural production and environmental services. The purpose of this study is to find out how much intensive land use has resulted in a deterioration of environmental services. This research was carried out on intensive agricultural land (Horticulture) (PI), AF-CK (cloves), AF-KK (cocoa), AF-KM (candlenut), AF-KP (coffee), owned by farmers and AF-HS (forest secondary) in Tn. Kelimutu National. This research uses interviews and exploration methods. The results showed that the level of intensification of horticultural land use in Kelimutu was classified as very intensive with an R-value and an LUI index = 79, the survey results showed that the density of earthworm populations in SPL-AF was as low as the population in SPL-HS, on average only 3 tails m-2, while in SPL-PI the average is only 0.24 m 2. The earthworm biomass in AF is about 69% smaller than the worms found in SPL-HS; earthworm biomass average in SPL-AF 15 g m-2 while in SPL-HS an average of 47 g m-2; and the smallest worm biomass found in SPL-PI averaging about 2.3 g m-2. The diversity of earthworms is significantly different between land uses. The average diversity of earthworms (H ') reaches 0.88; Index R = 0.34; and Index E = 0.92. The four species that dominate are 1). Pontoscolex (endogeik, INP = 48.52), 2). Megascolex (endogeik; INP 44,61), 3). Pheretima (epigeic, INP 35.29), and 4). Lumbricus (epigeic, INP = 13.01)

scholarly journals Evaluation of the efficiency of using agricultural land in agricultural production

2021 ◽  
pp. 135-139
Author(s):  
L. V. Kireicheva ◽  
V. A. Shevchenko ◽  
I. F. Yurchenko
Keyword(s):  
Land Use ◽  
Agricultural Production ◽  
Quantitative Methods ◽  
Agricultural Land ◽  
Land Reclamation ◽  
Theory And Practice ◽  
Successful Implementation ◽  
Industrial Complex ◽  
Land Resources ◽  
Integral Assessment

Relevance. The effective use of agricultural land is a fundamental prerequisite for the successful implementation in the agro-industrial complex of the task of providing the population with food, and production with raw materials. At the same time, the issues of methodological support of the procedures for determining the integral indicator for assessing the use of agricultural land, established on the basis of a theoretically grounded unified approach based on quantitative methods, have been developed with insufficient completeness. Actualization of the issues of improving the theory and practice of assessing the effectiveness of the use of agricultural land in agricultural production is becoming one of the priority tasks of land reclamation science. The purpose of this work is to create a methodological basis for the process of assessing the use of agricultural land, which guarantees the comparability of the considered options for agroproduction in different natural and economic conditions.Methods. The research is based on the method of point assessments for indicators of agricultural land exploitation and the formation on their basis an integral criterion of land use efficiency. The proposed procedure includes: analysis of statistical data characterizing the dynamics of the values of indicators of used land resources, calculation of local assessments of the feasibility of their exploitation and assessment of the efficiency of land use according to a generalizing criterion represented by the sum of these local assessments.Results. A methodology has been developed and a method has been created for determining the efficiency of the use of agricultural land, based on a generalized integral assessment of the operation of agricultural land, which allows to identify bottlenecks in agricultural production and outline rational directions for the development of land use. The testing of the algorithm of the methodology and capabilities of the scale for the integral assessment of the efficiency of the use of land resources was carried out on the example of the Non-Black Earth Zone of the Russian Federation. Shown is an unsatisfactory (below the national average) contribution of agricultural production to the gross regional product. On the whole, positive dynamics of agricultural production in the Non-Black Earth Zone was established, which is achieved due to the development of animal husbandry, which is an effective factor in the formation of modern efficient agriculture of the territory, with the orientation of the crop production system on the raw material basis of feed production or the sector of the economy of the agro-industrial complex of the territory.

scholarly journals The Mapping of Land Use Using Object-Based Image Analysis (OBIA) in Klaten Regency

2020 ◽  
Vol 202 ◽  
pp. 06036
Author(s):  
Nurhadi Bashit ◽  
Novia Sari Ristianti ◽  
Yudi Eko Windarto ◽  
Desyta Ulfiana
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Image Analysis ◽  
Satellite Imagery ◽  
Agricultural Land ◽  
Scale Parameter ◽  
Land Use Classification ◽  
Object Based Image Analysis ◽  
Object Based ◽  
Sentinel 2

Klaten Regency is one of the regencies in Central Java Province that has an increasing population every year. This can cause an increase in built-up land for human activities. The built-up land needs to be monitored so that the construction is in accordance with the regional development plan so that it does not cause problems such as the occurrence of critical land. Therefore, it is necessary to monitor land use regularly. One method for monitoring land use is the remote sensing method. The remote sensing method is much more efficient in mapping land use because without having to survey the field. The remote sensing method utilizes satellite imagery data that can be processed for land use classification. This study uses the sentinel 2 satellite image data with the Object-Based Image Analysis (OBIA) algorithm to obtain land use classification. Sentinel 2 satellite imagery is a medium resolution image category with a spatial resolution of 10 meters. The land use classification can be used to see the distribution of built-up land in Klaten Regency without having to conduct a field survey. The results of the study obtained a segmentation scale parameter value of 60 and a merge scale parameter value of 85. The classification results obtained by 5 types of land use with OBIA. Agricultural land use dominates with an area of 50% of the total area.

scholarly journals Assessment of Land Use and Vegetative Cover in Kano Metropolis (from 1975-2015) Employing GIS and Remote Sensing Technology

2020 ◽  
Vol 27 (2) ◽  
pp. 1-7
Author(s):  
M. Haruna ◽  
M.K. Ibrahim ◽  
U.M. Shaibu
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Agricultural Land ◽  
Landsat 8 ◽  
Vegetative Cover ◽  
Gis And Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Agricultural Planning ◽  
Bare Land

This study applied GIS and remote sensing technology to assess agricultural land use and vegetative cover in Kano Metropolis. It specifically examined the intensity of land use for agricultural and non agricultural purpose from 1975 – 2015. Images (1975, 1995 and 2015), landsat MSS/TM, landsat 8, scene of path 188 and 052 were downloaded for the study. Bonds for these imported scenes were processed using ENVI 5.0 version. The result indicated five classified features-settlement, farmland, water body, vegetation and bare land. The finding revealed an increase in settlement, vegetation and bare land between 1995 and 2015, however, farmland decreased in 2015. Indicatively, higher percentage of land use for non agricultural purposes was observed in recent time. Conclusively, there is need to accord surveying the rightful place and priority in agricultural planning and development if Nigeria is to be self food sufficient. Keywords: Geographic Information System, Agriculture, Remote sensing, Land use, Land cover

Main trends and problems of spatial development of agricultural land use and land tenure in the Non-Chernozem Economic Zone of Russia

2021 ◽  
pp. 5-16
Author(s):  
G.A. Polunin ◽  
V.V. Alakoz
Keyword(s):  
Land Use ◽  
Land Tenure ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Spatial Development ◽  
Agricultural Land Use ◽  
Existing Problems ◽  
Land Relations ◽  
European Part Of Russia ◽  
Economic Zone

The article outlines the main trends in the spatial development of agricultural land use and land tenure in the Non-Chernozem Economic Zone of the European part of Russia, which are summarized in several groups; worldwide trends, the most significant changes in countries, production and market phenomena, changes in the forms and types of ownership and land management. An assessment of the main problems that prevent the spatial development of agricultural land use is considered in the article paying the special attention to the areas unfavorable for agricultural production. The authors describe the existing problems in the field of land relations and administration of agricultural lands.

The Impact of Urbanization on Agricultural Land Use

2015 ◽  
Vol 2015 (3) ◽  
pp. 60-75
Author(s):  
Elena Belova ◽  
Yuliya Rozenfeld
Keyword(s):  
Land Use ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Arable Land ◽  
Agricultural Land Use ◽  
Economic Relations ◽  
Long Time ◽  
The Subject ◽  
Impact Of Urbanization ◽  
The Impact

The subject of the study presented in this article is the economic relations arising due to the progress of the urbanization that leads to changes in agricultural production. For a long time in Russia a reduction of agricultural land, arable land and crops takes place. One reason for this is the global progress of urbanization. Changes in agricultural land use occur across the country however this process is uneven in different regions. Among all regions Moscow and Moscow region significantly stand out. The study showed that in the more urbanized regions of the country reduction of the agricultural land and changes in agricultural land use are greater than in less urbanized ones.

scholarly journals Parallel Cellular Automata Markov Model for Land Use Change Prediction over MapReduce Framework

2019 ◽  
Vol 8 (10) ◽  
pp. 454 ◽  
Author(s):  
Junfeng Kang ◽  
Lei Fang ◽  
Shuang Li ◽  
Xiangrong Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Cellular Automata ◽  
Markov Model ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Remote Sensing Images ◽  
Mapreduce Framework ◽  
Construction Land ◽  
Model Based

The Cellular Automata Markov model combines the cellular automata (CA) model’s ability to simulate the spatial variation of complex systems and the long-term prediction of the Markov model. In this research, we designed a parallel CA-Markov model based on the MapReduce framework. The model was divided into two main parts: A parallel Markov model based on MapReduce (Cloud-Markov), and comprehensive evaluation method of land-use changes based on cellular automata and MapReduce (Cloud-CELUC). Choosing Hangzhou as the study area and using Landsat remote-sensing images from 2006 and 2013 as the experiment data, we conducted three experiments to evaluate the parallel CA-Markov model on the Hadoop environment. Efficiency evaluations were conducted to compare Cloud-Markov and Cloud-CELUC with different numbers of data. The results showed that the accelerated ratios of Cloud-Markov and Cloud-CELUC were 3.43 and 1.86, respectively, compared with their serial algorithms. The validity test of the prediction algorithm was performed using the parallel CA-Markov model to simulate land-use changes in Hangzhou in 2013 and to analyze the relationship between the simulation results and the interpretation results of the remote-sensing images. The Kappa coefficients of construction land, natural-reserve land, and agricultural land were 0.86, 0.68, and 0.66, respectively, which demonstrates the validity of the parallel model. Hangzhou land-use changes in 2020 were predicted and analyzed. The results show that the central area of construction land is rapidly increasing due to a developed transportation system and is mainly transferred from agricultural land.

scholarly journals Socioeconomic Impacts on Agricultural Land use in the Northeast

1978 ◽  
Vol 7 (2) ◽  
pp. 67-74
Author(s):  
Douglas E. Morris ◽  
Albert E. Luloff
Keyword(s):  
Land Use ◽  
Agricultural Production ◽  
Crop Production ◽  
Agricultural Land ◽  
Soil Improvement ◽  
Agricultural Land Use ◽  
Timber Production ◽  
Crop Acreage ◽  
Socioeconomic Impacts ◽  
Grapes Of Wrath

Joad said, “You're bound to get idears if you go thinkin’ about stuff.”John Steinbeck, The Grapes of WrathPast agricultural programs encouraged the withdrawal of cropland from agricultural production. With the removal of crop acreage restrictions and despite the favorable relationships of the 1972–1974 period, all of this land has not been immediately activated into crop production. Some programs encouraged shifts of cropland to pasture, timber production, or to soil improvement uses. Land converted to these alternatives is potentially available for crop production, but whether or at what rate it will be reemployed remains problematic.

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