Search results: 33,654 results (approx.)

1. Response of beetle assemblages (Insecta: Coleoptera) to patch characteristics and habitat complexity in an ever-expanding urban landscape in the Yucatán Peninsula, Mexico.

Insect diversity levels and change in remnant urban habitats have been poorly examined in Neotropical regions. The aim of this study was to evaluate the diversity and composition of foliage/shrub dwelling beetles (Insecta: Coleoptera) regarding the influence of patch attributes (i.e., patch size,...

Author(s) : Cortés-Arzola, S. V.; León-Cortés, J. L.

Publisher : Oxford University Press, Cary, USA

Journal article : Annals of the Entomological Society of America 2021 Vol.114 No.4 pp.511-521

2. Digital mapping of soil associations and eroded soils (Prokhorovskii District, Belgorod Oblast).

A new method of digital mapping of the soil cover pattern with calculation of the share of soils of different taxa and degree classes for soil erosion in the soil associations is proposed. A comparative analysis of soil maps obtained using different methods of construction (visual expert and...

Author(s) : Zhidkin, A. P.; Smirnova, M. A.; Gennadiev, A. N.; Lukin, S. V.; Zazdravnykh, Ye. A.; Lozbenev, N. I.

Publisher : Pleiades Publishing, Moscow, Russia

Journal article : Eurasian Soil Science 2021 Vol.54 No.1 pp.13-24 ref.39

3. Classification and digital mapping of soils in a semiarid region of Afghanistan.

A soil map provides information on soil spatial distribution. Such information is essential for effective use of soil resources for crop production, land evaluation, spatial planning, environmental control, and for other similar purposes. In this study, a digital soil map for a semiarid region of...

Author(s) : Wali, E.; Tasumi, M.; Shinohara, Y.

Publisher : Pleiades Publishing, Moscow, Russia

Journal article : Eurasian Soil Science 2021 Vol.54 No.1 pp.38-48 ref.49

4. Historical decrease in agricultural landscape diversity is associated with shifts in bumble bee species occurrence.

Agricultural intensification is a key suspect among putative drivers of recent insect declines, but an explicit link between historical change in agricultural land cover and insect occurrence is lacking. Determining whether agriculture impacts beneficial insects (e.g. pollinators), is crucial to...

Author(s) : Hemberger, J.; Crossley, M. S.; Gratton, C.

Publisher : Wiley, Oxford, UK

Journal article : Ecology Letters 2021 Vol.24 No.9 pp.1800-1813

5. The content and accuracy of the CORINE Land Cover dataset for Norway.

The CORINE Land Cover dataset for Norway for the reference year 2018 (CLC2018) was compared to detailed national land cover and land use data. This allowed us to describe the thematic composition of the CLC-polygons and aggregate the information into statistical profiles for each CLC-class. We...

Author(s) : Aune-Lundberg, L.; Strand, G. H.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : International Journal of Applied Earth Observation and Geoinformation 2021 Vol.96 ref.35

6. Updating the national soil map of Nepal through digital soil mapping.

While most legacy soil maps are available at coarse spatial detail with composite mapping units, high resolution and detailed soil maps are desired for various land resource applications. In time and resource constrained circumstances, the application of disaggregation methods and modelling...

Author(s) : Lamichhane, S.; Lalit Kumar; Adhikari, K.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Geoderma 2021 Vol.394 ref.2

7. Evaluation of peatland suitability for rice cultivation using matching method.

One of the common problems with peatlands is the infertile nature of the soil, therefore, farmers need to possess adequate knowledge on land evaluation techniques within a limited period to grow crops in this region optimally. Therefore, this research aims to design and build a computerized system...

Author(s) : Juhriyansyah Dalle; Dwi Hastuti; Firdaus Akmal

Publisher : HARD Publishing Company, Olsztyn, Poland

Journal article : Polish Journal of Environmental Studies 2021 Vol.30 No.3 pp.2041-2047 ref.32

8. Creating maps in R (case study: National Park "Fruška Gora").

This paper aims to present the possibilities for creating maps in the programming language R. Even though R is primarily developed as a statistical program, its application in the area of mapping and spatial statistics is becoming frequent and highly relevant. Many R packages make the mapping...

Author(s) : Lakićević, M.

Publisher : Sciendo, Warsaw, Poland

Journal article : Contemporary Agriculture 2021 No.1/2 pp.41-45 ref.7

9. Analysis of the informativity of big satellite precision-farming data processing for correcting large-scale soil maps.

Large-scale soil maps produced by research institutes for land management (GIPROZEM) are the main source of soil information on arable land in Russia. These maps date back to the 1960s-1990s. During the time that has passed since the last round of soil surveys, the development of precision farming...

Author(s) : Kulyanitsa, A. L.; Rukhovich, D. I.; Koroleva, P. V.; Vilchevskaya, Ye. V.; Kalinina, N. V.

Publisher : Pleiades Publishing, Moscow, Russia

Journal article : Eurasian Soil Science 2021 Vol.53 No.12 pp.1709-1725 ref.many

10. Hypotheses, machine learning and soil mapping.

Hypotheses are of major importance in scientific research. In current applications of machine learning algorithms for soil mapping the hypotheses being tested or developed are often ambiguous or undefined. Mapping soil properties or classes, however, does not tell much about the dynamics and...

Author(s) : Wadoux, A. M. J. C.; McBratney, A. B.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Geoderma 2021 Vol.383

11. On the interpretation of surprisingly high variation of soil map diversity in country-wide study of flood-affected agroecosystems using the legacy data in the Czech Republic.

Legacy soil data have been produced worldwide to provide maps of soil classes or properties. In this study, we joined the legacy results of conventional soil mapping with the application of the pedodiversity concept and compositional data analysis in a comprehensive spatial analysis of the mapped...

Author(s) : Skála, J.; Zádorová, T.; Žížala, D.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Geoderma 2021 Vol.383

12. Harmonization of a large-scale national soil database with the World Reference Base for Soil Resources 2014.

Legacy soil data currently represents an irreplaceable source of data for many national and international applications. Their full use at the international level largely depends on adequate harmonization. In this study, we adopted different methods of taxonomic distance and reclassification of soil ...

Author(s) : Zádorová, T.; Skála, J.; Žížala, D.; Vanĕk, A.; Penížek, V.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Geoderma 2021 Vol.384

13. Implementing land evaluation and site assessment (LESA system) in farmland protection: a case-study in northeastern China.

Farmland evaluation has become a major topic in farmland protection research. Due to the lack of reasonable and scientifically reliable evaluation methods for farmland protection, the farmland of quality and covering a wide area are at high risk of degradation and destruction in China due mainly to ...

Author(s) : Qian FengKui; Wang WeiWen; Wang QiuBing; Lal, R.

Publisher : Wiley, Chichester, UK

Journal article : Land Degradation & Development 2021 Vol.32 No.7 pp.2437-2452

14. Digital mapping of soil chemical properties with limited data in the Thung Kula Ronghai region, Thailand.

Prediction of soil chemical properties has significant implications for land management in Thailand but it is especially challenging in vast areas with limited soil data. In this study we identified important spectral and terrain indices for predicting various soil properties, evaluated the...

Author(s) : Srisomkiew, S.; Kawahigashi, M.; Limtong, P.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Geoderma 2021 Vol.389

15. ausplotsR: an R package for rapid extraction and analysis of vegetation and soil data collected by Australia's Terrestrial Ecosystem Research Network.

The Terrestrial Ecosystem Research Network (TERN), Australia's national land ecosystem monitoring programme, measures critical environmental attributes from local to continental scale and generates quality data for research and land management. Since 2011, TERN has performed standardised field...

Author(s) : Munroe, S.; Guerin, G.; Saleeba, T.; Martín-Forés, I.; Blanco-Martin, B.; Sparrow, B.; Tokmakoff, A.

Publisher : Wiley, Oxford, UK

Journal article : Journal of Vegetation Science 2021 Vol.32 No.3

16. On the accuracy of soil survey in Queensland, Australia.

The accuracy of soil survey is not well described in a consistent manner for either conventional or digital soil mapping in Queensland or more generally in Australia. Concepts of accuracy are often poorly understood and the rise of digital soil mapping has led to further terminology confusion for...

Author(s) : Biggs, A. J. W.; Crawford, M.; Andrews, K.; Sugars, M.; Smith, D.; Brown, W.

Publisher : CSIRO, Collingwood, Australia

Journal article : Soil Research 2021 Vol.59 No.4 pp.359-372 ref.many

17. Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques.

Land-use suitability analysis is of significance for the planning and management of cities. The main objective of this study was to develop a spatial model for land suitability assessment for peri-urban agricultural development with the use of geographic information systems (GIS) integrated with...

Author(s) : Ustaoglu, E.; Sisman, S.; Aydinoglu, A. C.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Ecological Modelling 2021 Vol.455

18. Hyperspectral and lidar data applied to the urban land cover machine learning and neural-network-based classification: a review.

Rapid technological advances in airborne hyperspectral and lidar systems paved the way for using machine learning algorithms to map urban environments. Both hyperspectral and lidar systems can discriminate among many significant urban structures and materials properties, which are not recognizable...

Author(s) : Kuras, A.; Brell, M.; Rizzi, J.; Burud, I.

Publisher : MDPI AG, Basel, Switzerland

Journal article : Remote Sensing 2021 Vol.13 No.17 ref.296

19. Optimal soil sampling design based on the maxvol algorithm.

Spatial soil sampling is an integral part of a soil survey aimed at describing spatial variability in soil properties. We propose considering the soil sampling procedure as a task of optimal design. In practical terms, optimal experiments can reduce experimentation costs, as they allow the...

Author(s) : Petrovskaia, A.; Ryzhakov, G.; Oseledets, I.

Publisher : Elsevier Ltd, Oxford, UK

Journal article : Geoderma 2021 Vol.402

20. Airborne LiDAR intensity correction based on a new method for incidence angle correction for improving land-cover classification.

Light detection and range (LiDAR) intensity is an important feature describing the characteristics of a target. The direct use of original intensity values has limitations for users, because the same objects may have different spectra, while different objects may have similar spectra in the...

Author(s) : Wu Qiong; Zhong RuoFei; Dong PinLiang; Mo You; Jin YunXiang

Publisher : MDPI AG, Basel, Switzerland

Journal article : Remote Sensing 2021 Vol.13 No.3 ref.48

21. An analysis of bare soil occurrence in arable croplands for remote sensing topsoil applications.

A better comprehension of soil properties and processes permits a progress in agricultural management effectiveness, together with a diminution of environmental damage and more beneficial use of resources. This research investigated the usage of multispectral (Sentinel-2 MSI) satellite data at the...

Author(s) : Mzid, N.; Pignatti, S.; Huang WenJiang; Casa, R.

Publisher : MDPI AG, Basel, Switzerland

Journal article : Remote Sensing 2021 Vol.13 No.3 ref.68

22. Permuted spectral and permuted spectral-spatial CNN models for PolSAR-multispectral data based land cover classification.

It is a challenge to develop methods which can process the polarimetric synthetic aperture radar (PolSAR) and multispectral (MS) data modalities together without losing information from either for remote sensing applications. This paper presents a study which attempts to introduce novel deep...

Author(s) : Singh, P. G.; Bordu, N.; Dharmendra Singh; Yahia, H.; Daoudi, K.

Publisher : Taylor & Francis, Abingdon, UK

Journal article : International Journal of Remote Sensing 2021 Vol.42 No.3 pp.1096-1120 ref.51

23. Digital soil mapping workflow for forest resource applications: a case study in the Hearst forest, Ontario.

Accurate soil information is critically important for forest management planning and operations but is challenging to map. Digital soil mapping (DSM) improves upon the limitations of conventional soil mapping by explicitly linking a variety of environmental data layers to spatial soil point data...

Author(s) : Blackford, C.; Heung, B.; Baldwin, K.; Fleming, R. L.; Hazlett, P. W.; Morris, D. M.; Uhlig, P. W. C.; Webster, K. L.

Publisher : NRC Research Press, Ottawa, Canada

Journal article : Canadian Journal of Forest Research 2021 Vol.51 No.1 pp.59-77 ref.many

24. Soil genesis and suitability for viticulture in zones under mediterranean environment.

The aim of this study was to analyze and classify the soils of the municipality of Alcubillas (La Mancha, Central Spain) and establish their suitability for vine cultivation. Alcubillas is a traditional location dedicated to vineyards and the production of wine. The pedological fingerprint of this...

Author(s) : Jiménez-Ballesta, R.; Bravo, S.; Amorós, J. A.; Pérez-De-Los-Reyes, C.; García-Pradas, J.; Sánchez, M.; García-Navarro, F. J.

Publisher : Pleiades Publishing, Moscow, Russia

Journal article : Eurasian Soil Science 2021 Vol.54 No.8 pp.1152-1160 ref.33

25. Can we use machine learning for agricultural land suitability assessment?

It is vital for farmers to know if their land is suitable for the crops that they plan to grow. An increasing number of studies have used machine learning models based on land use data as an efficient means for mapping land suitability. This approach relies on the assumption that farmers grow their ...

Author(s) : Møller, A. B.; Mulder, V. L.; Heuvelink, G. B. M.; Jacobsen, N. M.; Greve, M. H.

Publisher : MDPI Publishing, Basel, Switzerland

Journal article : Agronomy 2021 Vol.11 No.4 ref.96