Assessing the Feasibility of Using Remote Sensing Data and Vegetation Indices in the Estimation of Land Subject to Consolidation
The values of vegetation indices can provide a new source of data for use in the estimation of land to be consolidated. The results of research work carried out so far indicate a significant advantage of low-volume imaging over satellite methods when it comes to calculating vegetation index values....
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| Vydáno v: | Sensors (Basel, Switzerland) Ročník 24; číslo 23; s. 7736 |
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03.12.2024
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| Abstract | The values of vegetation indices can provide a new source of data for use in the estimation of land to be consolidated. The results of research work carried out so far indicate a significant advantage of low-volume imaging over satellite methods when it comes to calculating vegetation index values. This paper analyses multispectral images for the areas of selected croplands acquired via the Sentinel-2 satellite and an unmanned aerial vehicle (UAV) equipped with a multispectral camera. The research work consisted of evaluating NDVI (Normalised Difference Vegetation Index) and SAVI (Soil Adjusted Vegetation Index) values depending on the type of crop grown, the size of the cultivated area and the method of data acquisition. The data obtained were used to assess their potential use in the estimation of land to be consolidated. The effect of land consolidation is primarily to create more favourable living conditions and increase agricultural productivity. The results of the study showed that it would be preferable to use multispectral images acquired using UAVs rather than those from Sentinel satellites. This is due to the insufficient resolution of the satellite data, the correlation of NDVI and SAVI values at only a satisfactory level and the low accuracy of the data obtained for small registered plots of land. |
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| AbstractList | The values of vegetation indices can provide a new source of data for use in the estimation of land to be consolidated. The results of research work carried out so far indicate a significant advantage of low-volume imaging over satellite methods when it comes to calculating vegetation index values. This paper analyses multispectral images for the areas of selected croplands acquired via the Sentinel-2 satellite and an unmanned aerial vehicle (UAV) equipped with a multispectral camera. The research work consisted of evaluating NDVI (Normalised Difference Vegetation Index) and SAVI (Soil Adjusted Vegetation Index) values depending on the type of crop grown, the size of the cultivated area and the method of data acquisition. The data obtained were used to assess their potential use in the estimation of land to be consolidated. The effect of land consolidation is primarily to create more favourable living conditions and increase agricultural productivity. The results of the study showed that it would be preferable to use multispectral images acquired using UAVs rather than those from Sentinel satellites. This is due to the insufficient resolution of the satellite data, the correlation of NDVI and SAVI values at only a satisfactory level and the low accuracy of the data obtained for small registered plots of land. The values of vegetation indices can provide a new source of data for use in the estimation of land to be consolidated. The results of research work carried out so far indicate a significant advantage of low-volume imaging over satellite methods when it comes to calculating vegetation index values. This paper analyses multispectral images for the areas of selected croplands acquired via the Sentinel-2 satellite and an unmanned aerial vehicle (UAV) equipped with a multispectral camera. The research work consisted of evaluating NDVI (Normalised Difference Vegetation Index) and SAVI (Soil Adjusted Vegetation Index) values depending on the type of crop grown, the size of the cultivated area and the method of data acquisition. The data obtained were used to assess their potential use in the estimation of land to be consolidated. The effect of land consolidation is primarily to create more favourable living conditions and increase agricultural productivity. The results of the study showed that it would be preferable to use multispectral images acquired using UAVs rather than those from Sentinel satellites. This is due to the insufficient resolution of the satellite data, the correlation of NDVI and SAVI values at only a satisfactory level and the low accuracy of the data obtained for small registered plots of land.The values of vegetation indices can provide a new source of data for use in the estimation of land to be consolidated. The results of research work carried out so far indicate a significant advantage of low-volume imaging over satellite methods when it comes to calculating vegetation index values. This paper analyses multispectral images for the areas of selected croplands acquired via the Sentinel-2 satellite and an unmanned aerial vehicle (UAV) equipped with a multispectral camera. The research work consisted of evaluating NDVI (Normalised Difference Vegetation Index) and SAVI (Soil Adjusted Vegetation Index) values depending on the type of crop grown, the size of the cultivated area and the method of data acquisition. The data obtained were used to assess their potential use in the estimation of land to be consolidated. The effect of land consolidation is primarily to create more favourable living conditions and increase agricultural productivity. The results of the study showed that it would be preferable to use multispectral images acquired using UAVs rather than those from Sentinel satellites. This is due to the insufficient resolution of the satellite data, the correlation of NDVI and SAVI values at only a satisfactory level and the low accuracy of the data obtained for small registered plots of land. The values of vegetation indices can provide a new source of data for use in the estimation of land to be consolidated. The results of research work carried out so far indicate a significant advantage of low-volume imaging over satellite methods when it comes to calculating vegetation index values. This paper analyses multispectral images for the areas of selected croplands acquired via the Sentinel-2 satellite and an unmanned aerial vehicle (UAV) equipped with a multispectral camera. The research work consisted of evaluating (Normalised Difference Vegetation Index) and (Soil Adjusted Vegetation Index) values depending on the type of crop grown, the size of the cultivated area and the method of data acquisition. The data obtained were used to assess their potential use in the estimation of land to be consolidated. The effect of land consolidation is primarily to create more favourable living conditions and increase agricultural productivity. The results of the study showed that it would be preferable to use multispectral images acquired using UAVs rather than those from Sentinel satellites. This is due to the insufficient resolution of the satellite data, the correlation of and values at only a satisfactory level and the low accuracy of the data obtained for small registered plots of land. |
| Audience | Academic |
| Author | Kocur-Bera, Katarzyna Małek, Anna |
| AuthorAffiliation | 2 Institute of Civil Engineering, Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznan, Poland; anna.malek@put.poznan.pl 1 Institute of Geodesy and Civil Engineering, University of Warmia Mazury in Olsztyn, 10-719 Olsztyn, Poland |
| AuthorAffiliation_xml | – name: 2 Institute of Civil Engineering, Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznan, Poland; anna.malek@put.poznan.pl – name: 1 Institute of Geodesy and Civil Engineering, University of Warmia Mazury in Olsztyn, 10-719 Olsztyn, Poland |
| Author_xml | – sequence: 1 givenname: Katarzyna orcidid: 0000-0001-7056-5443 surname: Kocur-Bera fullname: Kocur-Bera, Katarzyna – sequence: 2 givenname: Anna orcidid: 0000-0002-2960-0902 surname: Małek fullname: Małek, Anna |
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| Cites_doi | 10.3390/su14084412 10.1186/s40494-023-00897-5 10.1016/0034-4257(88)90106-X 10.15292/geodetski-vestnik.2014.01.046-068 10.1007/s11119-013-9334-5 10.1080/02665430802319005 10.3390/rs70302971 10.3390/rs11212573 10.1109/36.934080 10.1007/s12518-024-00576-5 10.3390/w10070838 10.3390/rs15020539 10.1016/j.rse.2003.12.013 10.24857/rgsa.v17n1-009 10.1109/JSTARS.2014.2334332 10.3390/rs2010290 10.3390/rs12142291 10.3390/rs16071254 10.3390/land11050636 10.36887/2415-8453-2024-1-24 10.1016/j.habitatint.2023.102911 10.3390/rs10010114 10.1016/j.eja.2022.126691 10.1016/j.landusepol.2021.105401 10.3390/land11122280 10.1016/j.envres.2022.115155 10.3390/agronomy10050641 10.1016/j.isprsjprs.2017.02.015 10.3390/rs12172760 10.1016/j.scitotenv.2023.162391 10.1016/0034-4257(94)90134-1 10.1109/MGRS.2020.2998816 10.2478/sjce-2019-0006 10.3390/rs10081216 10.1016/j.isprsjprs.2019.11.018 10.3390/rs9090906 10.1016/j.healthplace.2018.09.005 10.1016/j.landusepol.2022.106360 10.1109/DCIS201949030.2019.8959891 10.1111/j.1467-9671.2012.01371.x 10.3389/fpls.2019.00559 10.1016/S0034-4257(00)00139-5 10.3390/land10060619 10.3390/agriculture8070116 |
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| References | (ref_32) 2004; 4 Hartvigsen (ref_5) 2014; 47 (ref_39) 2023; 22 Qi (ref_55) 1994; 48 Gao (ref_47) 2020; 159 ref_14 Reid (ref_50) 2018; 54 ref_57 ref_56 ref_10 Sinas (ref_13) 2023; 23 He (ref_35) 2013; 33 Haboudane (ref_63) 2009; 90 Jarocinska (ref_62) 2008; 40 Bellvert (ref_28) 2014; 15 Molema (ref_11) 2008; 23 ref_18 Akkaya (ref_59) 2021; 105 ref_16 Matwij (ref_66) 2017; 126 Vani (ref_52) 2017; 8 Hendricks (ref_12) 2014; 58 (ref_65) 2023; 95 Ertunc (ref_15) 2022; 122 Huang (ref_49) 2014; 7 ref_25 Taszakowski (ref_67) 2024; 16 ref_23 ref_22 ref_21 ref_64 Martinez (ref_36) 2023; 220 Fontgalland (ref_54) 2023; 17 ref_27 ref_26 Wrzochol (ref_68) 1971; 6 Janus (ref_61) 2023; 140 Valente (ref_24) 2023; 142 Hunt (ref_20) 2010; 2 ref_34 ref_31 Matese (ref_19) 2015; 7 Geisse (ref_60) 2019; 27 Mohylnyi (ref_30) 2024; 9 Bielska (ref_1) 2012; 1 Huete (ref_53) 1988; 25 Jankowiak (ref_33) 2011; 5 ref_46 ref_45 Taszakowski (ref_69) 2019; 6 ref_44 ref_43 ref_42 Jin (ref_17) 2020; 9 ref_41 ref_40 ref_2 Jacquemoud (ref_38) 2000; 74 Krupowicz (ref_3) 2013; 1 ref_48 Almutairi (ref_51) 2013; 1 ref_9 Miller (ref_37) 2001; 39 Demetriou (ref_58) 2012; 17 (ref_4) 2012; 11 ref_7 Tarnowska (ref_29) 2023; 11 ref_6 Janus (ref_8) 2023; 873 |
| References_xml | – volume: 6 start-page: 14 year: 2019 ident: ref_69 article-title: Land evaluation for land consolidation works publication-title: Przegląd Geod. – ident: ref_18 doi: 10.3390/su14084412 – volume: 11 start-page: 53 year: 2023 ident: ref_29 article-title: Combination of terrestrial laser scanning and UAV photogrammetry for 3D modelling and degradation assessment of heritage building based on a lighting analysis: Case study—St. Adalbert Church in Gdansk, Poland publication-title: Herit. Sci. doi: 10.1186/s40494-023-00897-5 – volume: 25 start-page: 295 year: 1988 ident: ref_53 article-title: A Soil-Adjusted Vegetation Index (SAVI) publication-title: Remote Sens. Environ. doi: 10.1016/0034-4257(88)90106-X – volume: 58 start-page: 46 year: 2014 ident: ref_12 article-title: Land consolidation for large-scale infrastructure projects in Germany publication-title: Geod. Vestn. doi: 10.15292/geodetski-vestnik.2014.01.046-068 – volume: 15 start-page: 361 year: 2014 ident: ref_28 article-title: Mapping Crop Water Stress Index in a ‘Pinot-Noir’ Vineyard: Comparing Ground Measurements with Thermal Remote Sensing Imagery from an Unmanned Aerial Vehicle publication-title: Precis. Agric. doi: 10.1007/s11119-013-9334-5 – volume: 23 start-page: 427 year: 2008 ident: ref_11 article-title: The origins of Dutch rural planning: A study of the early history of land consolidation in the Netherlands publication-title: Plan. Perspect. doi: 10.1080/02665430802319005 – volume: 4 start-page: 25 year: 2004 ident: ref_32 article-title: Problems of water management in agriculture in Wielkopolska Province publication-title: Water Environ. Rural Areas – volume: 7 start-page: 2971 year: 2015 ident: ref_19 article-title: Intercomparison of UAV, aircraft and satellite remote sensing platforms for precision viticulture publication-title: Remote Sens. doi: 10.3390/rs70302971 – volume: 1 start-page: 143 year: 2013 ident: ref_3 article-title: Possibilities of using geographic information systems in consolidation work publication-title: Infrastruct. Ecol. Rural. Areas – volume: 95 start-page: 24 year: 2023 ident: ref_65 article-title: The use of unmanned aerial vehicles in the acquisition of photogrammetric materials for the implementation of comprehensive integration works publication-title: Przegląd Geod. – ident: ref_21 doi: 10.3390/rs11212573 – volume: 39 start-page: 1491 year: 2001 ident: ref_37 article-title: Scaling-up and model inversion methods with narrow band optical indices for chlorophyll content estimation in closed forest canopies with hyper-spectral data publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/36.934080 – volume: 16 start-page: 561 year: 2024 ident: ref_67 article-title: Use of UAV imagery for land consolidation: Analysis of the accuracy of the resulting orthophotomosaic in relation to the GNSS RTK measurement publication-title: Appl. Geomat. doi: 10.1007/s12518-024-00576-5 – volume: 23 start-page: 355 year: 2023 ident: ref_13 article-title: Land Consolidation in Turkey—A Multipurpose/Discipline Land Consolidation In Turkey With ICT Support 2023 publication-title: Sci. Pap. Ser. Manag. Econ. Eng. Agric. Rural. Dev. – ident: ref_44 doi: 10.3390/w10070838 – ident: ref_25 doi: 10.3390/rs15020539 – ident: ref_31 – ident: ref_56 – volume: 6 start-page: 234 year: 1971 ident: ref_68 article-title: The method of estimating land during its consolidation based on the bonitation values and agricultural suitability of soils, taking into account economic factors publication-title: Przegląd Geod. – volume: 90 start-page: 337 year: 2009 ident: ref_63 article-title: Hyperspectral vegetation indices and Novel Algorithms for Predicting Green LAI of crop canopies: Modeling and Validation in the Context of Precision Agriculture publication-title: Rem. Sens. Environ. doi: 10.1016/j.rse.2003.12.013 – volume: 17 start-page: e03116 year: 2023 ident: ref_54 article-title: Normalized Difference Vegetation Index Analysis Using Ndvi and Savi Indices in the Conservation Unit Serra da Borborema Municipal Nature Park, Campina Grande, Paraíba, Brazil publication-title: Rev. Gestão Soc. E Ambient. doi: 10.24857/rgsa.v17n1-009 – ident: ref_48 – volume: 7 start-page: 4374 year: 2014 ident: ref_49 article-title: Analysis of NDVI Data for Crop Identification and Yield Estimation publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. doi: 10.1109/JSTARS.2014.2334332 – ident: ref_10 – volume: 2 start-page: 290 year: 2010 ident: ref_20 article-title: Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring publication-title: Remote Sens. doi: 10.3390/rs2010290 – ident: ref_45 – ident: ref_41 doi: 10.3390/rs12142291 – volume: 33 start-page: 46 year: 2013 ident: ref_35 article-title: Monitoring of desertification dynamic in Kenya during 2001–2010 using MOD13Q1 data publication-title: J. Desert Res. – ident: ref_7 – ident: ref_22 doi: 10.3390/rs16071254 – ident: ref_16 doi: 10.3390/land11050636 – volume: 9 start-page: 146 year: 2024 ident: ref_30 article-title: Analysis of the accuracy of cadastral surveys using UaVs publication-title: Ukr. J. Appl. Econ. Technol. doi: 10.36887/2415-8453-2024-1-24 – volume: 140 start-page: 102911 year: 2023 ident: ref_61 article-title: Impact of selected land fragmentation parameters and spatial rural settlement patterns on the competitiveness of agriculture: Examples of selected European and Asian countries publication-title: Habitat Int. doi: 10.1016/j.habitatint.2023.102911 – volume: 11 start-page: 27 year: 2012 ident: ref_4 article-title: Environmental and landscape aspects of agriculture in the development of assumptions for the land consolidation project publication-title: Acta Sci. Pol. Geod. Descr. Terrarum – ident: ref_27 doi: 10.3390/rs10010114 – volume: 142 start-page: 126691 year: 2023 ident: ref_24 article-title: Mapping the Spatial Variability of Botrytis Bunch Rot Risk in Vineyards Using UAV Multispectral Imagery publication-title: Eur. J. Agron. doi: 10.1016/j.eja.2022.126691 – volume: 22 start-page: 331 year: 2023 ident: ref_39 article-title: Assessment of the use of unmanned aerial vehicles for road pavement condition surveying publication-title: Roads Bridges/Drog. I Mosty – volume: 1 start-page: 50 year: 2013 ident: ref_51 article-title: Comparative Study of SAVI and NDVI Vegetation Indices in Sulaibiya Area (Kuwait) Using Worldview Satellite Imagery publication-title: Int. J. Geosci. Geomat – ident: ref_40 – volume: 105 start-page: 105401 year: 2021 ident: ref_59 article-title: Evaluation of land consolidation projects with parcel shape and dispersion publication-title: Land Use Policy doi: 10.1016/j.landusepol.2021.105401 – ident: ref_9 doi: 10.3390/land11122280 – volume: 220 start-page: 115155 year: 2023 ident: ref_36 article-title: Demystifying normalized difference vegetation index (NDVI) for greenness exposure assessments and policy interventions in urban greening publication-title: Environ. Res. doi: 10.1016/j.envres.2022.115155 – volume: 1 start-page: 5 year: 2012 ident: ref_1 article-title: The impact of land consolidation on multifunctional, sustainable development of rural areas publication-title: Infrastruct. Ecol. Rural. Areas – ident: ref_42 doi: 10.3390/agronomy10050641 – volume: 126 start-page: 168 year: 2017 ident: ref_66 article-title: Comparison of low-altitude UAV photogrammetry with terrestrial laser scanning as data-source methods for terrain covered in low vegetation publication-title: ISPRS J. Photogramm. Remote Sens. doi: 10.1016/j.isprsjprs.2017.02.015 – ident: ref_46 doi: 10.3390/rs12172760 – volume: 873 start-page: 162391 year: 2023 ident: ref_8 article-title: Impact of land consolidation on agricultural decarbonization: Estimation of changes in carbon dioxide emissions due to farm transport publication-title: Sci. Total Environ. doi: 10.1016/j.scitotenv.2023.162391 – volume: 48 start-page: 119 year: 1994 ident: ref_55 article-title: A modified soil adjusted vegetation index publication-title: Rem. Sens. Environ. doi: 10.1016/0034-4257(94)90134-1 – ident: ref_6 – volume: 9 start-page: 200 year: 2020 ident: ref_17 article-title: High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping, Platforms publication-title: IEEE Geosci. Remote Sens. Mag. doi: 10.1109/MGRS.2020.2998816 – volume: 27 start-page: 39 year: 2019 ident: ref_60 article-title: Quantification of Changes in the Shape and Dimensions of Parcels in Land Consolidation publication-title: Slovak J. Civ. Eng. doi: 10.2478/sjce-2019-0006 – ident: ref_64 doi: 10.3390/rs10081216 – volume: 47 start-page: 51 year: 2014 ident: ref_5 article-title: Land consolidation and land banking in Denmark—Tradition, multi-purpose and perspectives publication-title: Dan. J. Geoinform. Land Manag. – volume: 159 start-page: 364 year: 2020 ident: ref_47 article-title: Remote sensing algorithms for estimation of fractional vegetation cover using pure vegetation index values: A review publication-title: ISPRS J. Photogramm. Remote Sens. doi: 10.1016/j.isprsjprs.2019.11.018 – ident: ref_2 – ident: ref_43 doi: 10.3390/rs9090906 – volume: 54 start-page: 92 year: 2018 ident: ref_50 article-title: It’s not easy assessing greenness: A comparison of NDVI datasets and neighborhood types and their associations with self-rated health in New York City publication-title: Health Place doi: 10.1016/j.healthplace.2018.09.005 – volume: 8 start-page: 559 year: 2017 ident: ref_52 article-title: Comparative study of NDVI and SAVI vegetation indices in Anantapur district semi-arid areas publication-title: Int. J. Civ. Eng. Technol. – volume: 122 start-page: 106360 year: 2022 ident: ref_15 article-title: Land valuation with Best Worst Method in land consolidation projects publication-title: Land Use Policy doi: 10.1016/j.landusepol.2022.106360 – volume: 40 start-page: 100 year: 2008 ident: ref_62 article-title: Correlations of ground- and airborne-level acquired vegetation indices of the Bystrzanka catchment publication-title: Teledetekcja Sr. – ident: ref_34 doi: 10.1109/DCIS201949030.2019.8959891 – volume: 17 start-page: 861 year: 2012 ident: ref_58 article-title: A Parcel Shape Index for Use in Land Consolidation Planning publication-title: Trans. GIS doi: 10.1111/j.1467-9671.2012.01371.x – volume: 5 start-page: 39 year: 2011 ident: ref_33 article-title: Shaping and using water resources in agriculture publication-title: Infrastruct. Ecol. Rural. Areas – ident: ref_26 doi: 10.3389/fpls.2019.00559 – volume: 74 start-page: 417 year: 2000 ident: ref_38 article-title: Comparison of four radiative transfer models to simulate plant canopies reflectance: Direct and inverse model publication-title: Remote Sens. Environ. doi: 10.1016/S0034-4257(00)00139-5 – ident: ref_57 – ident: ref_14 doi: 10.3390/land10060619 – ident: ref_23 doi: 10.3390/agriculture8070116 |
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| SubjectTerms | Agricultural land Agricultural production Agriculture Biodiversity Drone aircraft Energy consumption Environmental protection land consolidation Land use Natural resources NDVI photogrammetry Poland Remote sensing Rural areas Rural development Satellites SAVI Subsidies Sustainable development UAV multispectral images Unmanned aerial vehicles Valuation Vegetation |
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| Title | Assessing the Feasibility of Using Remote Sensing Data and Vegetation Indices in the Estimation of Land Subject to Consolidation |
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