scholarly journals Application of GIS Technologies and Aerial Photography for Geoinformation Mapping and Modelling of Relief of Agroland Landscapes

2020 ◽  
Vol 34 ◽  
pp. 82-95
Author(s):  
S. V. Pashkov ◽  
◽  
G. Z. Mazhitova ◽  
Keyword(s):  
Precision Agriculture ◽  
Aerial Photography ◽  
Crop Production ◽  
Large Scale ◽  
Local Level ◽  
Field Studies ◽  
Aerial Photographs ◽  
Visible Range ◽  
Gis Technologies ◽  
Gis Environment

The article is devoted to one of the topical applied areas of agrarian landscape research – geoinformation mapping, the development of maps and models of the topography of agricultural areas. The authors demonstrate results of works on large-scale geoinformation mapping and modeling of the topography of the oldest region of bogharic agriculture of Kazakhstan – North Kazakhstan region using methods and materials of remote sensing data and GIS technologies. The main source material in the study was a series of aerial photographs obtained from an unmanned aerial vehicle (UAV). The site of photographing was carried out by GEOSCAN-Kazakhstan LLP with using the Geoscan-201M Agro/Geodesy aerial photography complex. Characteristics of photographing: height – 280 m, visible range – 5 cm/pixel, multispectral – 13 cm/pixel. Geoinformation data on the nature of the relief were obtained during field studies in 2018-2020. Studies were carried out at the local level on the example of agricultural area located in the north of the region within the forest and steppe arable small-circuit agrarian landscape. Based on the results of the study, an electronic vector basis and specialized attribute data of the key area in the GIS environment, a digital relief model were prepared, spatial analysis and modeling of the geomorphological device of the arable surface were performed. The importance of the work is given by a significant agrogenic transformation of the relief of the definite locality during the almost 270-year history of agriculture. A series of maps of the main characteristics and morphometric indicators of the relief, significant from the point of view of crop production intensification and the development of accurate (precision) agriculture of the region, has been worked out. As a result of the study, the methodology of large-scale geoinformation mapping and modeling of the terrain of agrolandscapes in the GIS environment based on aerial photographs from UAVs was developed and tested. The algorithm of work has been compiled, starting from field studies, completing with the development of thematic maps and morphometric analysis of the relief and nature of the surface structure of the studied area.

scholarly journals Aerial Photography Used for Spatial Pattern Analysis of Late Blight Infection in Irrigated Potato Circles

2003 ◽  
Vol 93 (7) ◽  
pp. 805-812 ◽  
Author(s):  
Dennis A. Johnson ◽  
J. Richard Alldredge ◽  
Philip B. Hamm ◽  
Bruce E. Frazier
Keyword(s):  
Late Blight ◽  
Aerial Photography ◽  
Large Scale ◽  
Temporal Dynamics ◽  
Disease Incidence ◽  
Aerial Photographs ◽  
Spatial Pattern Analysis ◽  
Initial Inoculum ◽  
Disease Patterns ◽  
Commercial Potato

Spatial and temporal dynamics of late blight were investigated from color, infrared aerial photographs of five commercial potato fields in the Columbia Basin during epidemics in 1993, 1995, and 1998. Aerial photographs were taken one to four times at 6- to 21-day intervals. Photographs were scanned and pixels, representing approximately 1 m2 in the field, were used in the analysis. Late blight-infected plants were aggregated as indicated by runs analysis. Significant z-tests were computed for four directions during each sampling date in each of the five fields. Absolute z-values for runs analysis increased, indicating increasing aggregation in the four directions, as disease incidence increased in the early and midphases of the epidemics in each field. Variograms indicated the existence of autocorrelation among infected plants in four directions; the range of influence increased as disease incidence increased except at the highest levels of disease. Late blight was observed to spread in fields as foci. Late blight foci enlarged in size, produced distinct daughter foci, and coalesced. A field where initial inoculum likely originated from infected seed tubers exhibited less initial aggregation than the other fields, perhaps due to a different source of primary inoculum. Aerial photography coupled with spatial analyses of late blight-infected plants was an effective technique to quantitatively assess disease patterns in relatively large fields and was useful in quantifying an intensification of aggregation during the epidemic process on a large scale.

scholarly journals MODERN BELIGERATIVE RELIEF (ON THE EXAMPLE OF YAVORIV MILITARY TRAINING GROUND OF LVIV REGION)

2021 ◽  
pp. 208-229
Author(s):  
Galyna Bayrak
Keyword(s):  
Twentieth Century ◽  
Large Scale ◽  
Military Training ◽  
Field Studies ◽  
Scale Space ◽  
Aerial Photographs ◽  
Space Images ◽  
Open Structures ◽  
Loose Sediments ◽  
The Military

The author establishes the types of relief created for military purposes (beligerative) and analyzes its morphology. The territory of the Yavoriv military training ground in the Lviv region, the largest in Ukraine training complex of various types and kinds of troops, was chosen as an example. The military training ground was established in the 30s of the twentieth century. In the past, Polish infantry, German tank divisions, Soviet troops, and nowadays Ukrainian and international ground and air forces trained here. The area of the landfill is 361.5 km2. It occupies an advantageous position in the terrain, as it is located on an elevated part of the Roztochchya Upland, where the Main European watershed passes. Loose sediments are widespread in the territory, which contribute to the creation of deep and elongated forms of beligerative relief. These are mainly quaternary alluvial sands and detritus of native rocks, aeolian and diluvial loess and sandy loams, alluvial sediments. We consider the beligerative relief as an integral part of the field military fortification. The research was performed on the base of interpretation of large-scale space images, aerial photographs and field studies. The modern beligerative relief observed at the Yavoriv military training ground was classified into positive and negative forms depending on the method of military activity. Positive forms include: 1) hills of command posts for control and surveillance, 2) hills of tank or cannon fortifications, 3) micro-hills of protection against small arms, 4) bunkers (wooden-earth defense points), 5) high-altitude targets and firing positions. Negative forms are as follows: 1) trenches of the defense line and the course of connections; 2) open structures for the protection of personnel: individual trenches, pairs, for several infantry, as well as for shooting lying down, kneeling, standing; 3) trenches for the protection of equipment and heavy artillery weapons; 4) closed structures for personnel protection: dugouts, bunkers, cracks, dugouts; 5) excavations from ruptures of artillery shells. There are more negative forms in the modern military relief. Analysis of space images from different times (1980–1990, 2000–2005, 2015–2019) and modern field observations allowed us to trace the dynamics of beligerative relief forms. The formation of new and most widespread forms occurs in the mid-80 of the twentieth century. At the end of the XX and at the beginning of the XXI century, the existing forms decline, steamrolled by exogenous processes, and new ones do not appear. New forms have been appeared since 2015, but only in small local areas. The place they appear are characterized by a significant anthropogenic transformation of the terrain, the development of exogenous processes, such as soil dispersal, desertification, erosion, oozing. Key words: beligerative (military) relief; Yavoriv military training ground (Ukraine); morphological classification.

scholarly journals Integrated application of drones for soil management and precision agriculture in Nigeria

2020 ◽  
pp. 21-30
Author(s):  
Agbakoba Augustine Azubuike ◽  
Ema Idongesit Asuquo ◽  
Agbakoba Victor Chike
Keyword(s):  
Precision Agriculture ◽  
Crop Production ◽  
Large Scale ◽  
Agricultural Sector ◽  
New Technologies ◽  
Arable Land ◽  
Agricultural Practices ◽  
Soil Management ◽  
Short Period ◽  
Information And Communication

The recent push for precision agriculture has resulted in the deployment of highly sophisticated Information and Communication Technology (ICT) gadgets in various agricultural practices and methods. The introduction of ICT devices has been linked to significant improvements in agricultural activities. These devices have been shown to enhance the optimal management of critical resources such as water, soil, crop and arable land. Again, ICT devices are increasingly attractive due to their flexibility, ease of operation, compactness and superior computational capabilities. Especially when in comparison to the mundane methods previously used by most small- and large-scale farmers. For instance, ICT devices such as Unmanned Aerial Vehicles (UAVs) also referred to as drones, are increasingly being deployed for remote sensing missions where they capture high quality spatial resolution images. The data generated by these UAVs provide much needed information that aids in early spotting of soil degradation, crop conditions, severity of weed infestation and overall monitoring of crop yield variability. This enables farmers to acquire on-the-spot information that will enhance decision making within a short period of time, which will in turn contribute to reduction in running cost and potentially increase yield. It is safe to say that full potentials of drones are yet to be fully utilized in the Nigerian agricultural sector. This is due to several factors; most notably are the numerous challenges that accompany the introduction and adoption of much new technologies. Other factors; include high cost of technology, inadequate or total lack of skilled labour, poor awareness and low-farmer literacy. Therefore, this review work highlights the global progress recorded as a result of the recent application of drones for soil management and efficient crop production. Furthermore, key discussions surrounding the application of drones for precision agriculture and the possible drawbacks facing the deployment of such technology in Nigeria has been covered in this work.

Detection of root disease in coastal Douglas-fir stands using large scale 70-mm aerial photography

1984 ◽  
Vol 14 (4) ◽  
pp. 523-527 ◽  
Author(s):  
G. W. Wallis ◽  
Y. J. Lee
Keyword(s):  
Aerial Photography ◽  
Large Scale ◽  
Douglas Fir ◽  
Root Disease ◽  
Aerial Photographs ◽  
Stand Age ◽  
Adequate Information ◽  
Disease Occurrence ◽  
Mature Stands

Douglas-fir (Pseudotsugamenziesii (Mirb.) Franco) stands 15, 40, and 100 years of age containing root disease openings of various sizes were photographed using 70-mm Aerochrome color and color-infrared film at scales of 1:1 500 to 1:15 000. Success in detecting disease centers varied with scale relative to stand age and disease symptomatology. Scales of 1:6 000 provided adequate information for young stands 15–20 years of age whereas scales of up to 1:15 000 proved satisfactory for locating most centers in 100-year-old stands. The large variation in symptomatology among stands in the midage class made accurate assessment of disease occurrence difficult at all scales used. Measurement of area within most disease centers in a stand using aerial photographs is probably feasible only in mature stands. Color photographs were superior to color-infrared for detecting early foliage discoloration; the reverse was true when characterization of ground features and downed trees was desired.

Identification of former shallow coal mining from aerial photographs: an example from West Yorkshire

1987 ◽  
Vol 4 (1) ◽  
pp. 133-136
Author(s):  
J. R. A. Giles
Keyword(s):  
Coal Mining ◽  
Aerial Photography ◽  
Large Scale ◽  
Geological Mapping ◽  
Aerial Photographs ◽  
Major Constraint ◽  
Scale Cover ◽  
Mine Workings

AbstractSystematic, large-scale, aerial photography is now available for many areas of the exposed coalfields. In West Yorkshire 1:10000 or 1:10 560 scale cover is generally available, supplemented by 1:5000 and 1:3000 cover in more limited areas. Examination of aerial photographs, in conjunction with detailed geological mapping, has identified characteristic ground patterns associated with the existence of former shallow workings. These patterns are interpreted in terms of changes of style of mining with increasing depth.The presence of shallow mine workings is a major constraint on planning in areas of exposed coalfield. The examination of large scale aerial photographs offers a rapid reconnaissance method of identifying such workings.

scholarly journals On the question of the main elements of precision agriculture in Kostanay region on the example of LLP “Agricultural Experimental Station “Zarechnoye”

2021 ◽  
Vol 211 (08) ◽  
pp. 11-17
Author(s):  
D. Zhamalova ◽  
Marat Tashmuhamedov
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Precision Agriculture ◽  
Aerial Photography ◽  
Crop Production ◽  
Near Infrared ◽  
Agricultural Land ◽  
The State ◽  
Technical Program ◽  
Aerial Vehicle ◽  
Program Transfer

Abstract. The purpose of the research is to analyze the quality of sowing operations (flaws, sifting), the completeness of seedlings based on multispectral images. The research was carried out in accordance with the purpose of implementing the scientific and technical program “Transfer and adaptation of precision farming technologies in the production of crop production on the principle of "demonstration farms (landfills)” in Kostanay region" in 2019. Methods. To perform monitoring work, an unmanned aerial vehicle of an airplane type was used; a multispectral (MS) camera equipped with sensors of the main channels. Agrotechnical requirements have been developed taking into account the data of the electronic map of fields and the specifics of the region. The analysis of the state of crops using an information and analytical resource was carried out. Results. A survey of agricultural crops was conducted in order to obtain data on the state of the fields by an unmanned aerial vehicle. Aerial photography was performed with the Make sense Red-Edge multispectral camera at an altitude of 300 meters. The survey was carried out over 19 fields in five spectral ranges: blue, green, red, extreme red, near infrared. Aerial photography data are the initial data for the construction of orthophotoplanes, digital surface models, 3D-models. After conducting a flyby of the territory, the general condition of agricultural land was analyzed. Measurements are made on the reference fields using a portable device – an N-tester. The scientific novelty lies in the fact that aerial photography of spring wheat, which is at the stage of 3–4 leaves, was carried out, which revealed changes in the NDVI value, which during the ground survey confirmed an increase in the degree of clogging by annual millet weeds of the selected areas.

scholarly journals A semi-automated workflow for processing historic aerial photography

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Nathan Piekielek
Keyword(s):  
Satellite Imagery ◽  
Aerial Photography ◽  
Large Scale ◽  
Geographic Information ◽  
Structured Data ◽  
Geospatial Data ◽  
Aerial Photographs ◽  
Web Mapping ◽  
Technical Specifications ◽  
The U.S

<p><strong>Abstract.</strong> Libraries, museums and archives were the original big geospatial information repositories that to this day house thousands to millions of resources containing research-quality geographic information. However, these print resources (and their digital surrogates), are not easily incorporated into the contemporary research process because they are not structured data that is required of web-mapping and geographic information system tools. Fortunately, contemporary big data tools and methods can help with the large-scale conversion of historic resources into structured datasets for mapping and spatial analysis.</p><p>Single frame historic aerial photographs captured originally on film (hereafter “photographs”), are some of the most ubiquitous and information-rich geographic information resources housed in libraries, museums and archives. Photographs authentically encoded information about past places and time-periods without the thematic focus and cartographic generalization of historic print maps. As such, they contain important information in nearly every category of base mapping (i.e. transportation networks, populated places etc.), that is useful to a broad spectrum of research projects and other applications. Photographs are also some of the most frustrating historic resources to use due to their very large map-scale (i.e. small geographic area), lack of reference information and often unknown metadata (i.e. index map, flight altitude, direction etc.).</p><p>The capture of aerial photographs in the contiguous United States (U.S.) became common in the 1920s and was formalized in government programs to systematically photograph the nation at regular time intervals beginning in the 1930s. Many of these photography programs continued until the 1990s meaning that there are approximately 70 years of “data” available for the U.S. that is currently underutilized due to inaccessibility and the challenges of converting photographs to structured data. Large collections of photographs include government (e.g. the U.S. Department of Agriculture Aerial Photography Field Office “The Vault” – over 10 million photographs), educational (e.g. the University of California Santa Barbara Library – approximately 2.5 million photographs), and an unknown number non-governmental organizations (e.g. numerous regional planning commissions and watershed conservation groups). Collectively these photography resources constitute an untapped big geospatial data resource.</p><p>U.S. government photography programs such as the National Agricultural Imagery Program continued and expanded in the digital age (i.e. post early 2000s), so that not only is there opportunity to extend spatial analyses back in time, but also to create seamless datasets that integrate with current and expected future government aerial photography campaigns. What is more, satellite imagery sensors have improved to the point that there is now overlap between satellite imagery and aerial photography in terms of many of their technical specifications (i.e. spatial resolution etc.). The remote capture of land surface imagery is expanding rapidly and with it are new opportunities to explore long-term land-change analyses that require historical datasets.</p><p>Manual methods to process photographs are well-known, but are too labour intensive to apply to entire photography collections. Academic research on methods to increase the discoverability of photographs and convert them to geospatial data at large-scale has to date been limited (although see the work of W. Karel et al.). This presentation details a semi-automated workflow to process historic aerial photographs from U.S. government sources and compares the workflow and results to existing methods and datasets. In a pilot test area of 94 photographs in the U.S. state of Pennsylvania, the workflow was found to be nearly 100-times more efficient than commonly employed alternatives while achieving greater horizontal positional accuracy. Results compared favourably to contemporary digital aerial photography data products, suggesting that they are well-suited for integration with contemporary datasets. Finally, initial results of the workflow were incorporated into several existing online discovery and sharing platforms that will be highlighted in this presentation. Early online usage statistics as well as direct interaction with users demonstrates the broad interest and high-impact of photographs and their derived products (i.e. structured geospatial data).</p>

scholarly journals REQUIREMENTS FOR AERIAL PHOTOGRAPHY

2012 ◽  
Vol 30 (3) ◽  
pp. 75-79 ◽  
Author(s):  
Birutė Ruzgienė
Keyword(s):  
European Union ◽  
Aerial Photography ◽  
Large Scale ◽  
Digital Camera ◽  
Aerial Photographs ◽  
Flying Height ◽  
The European Union ◽  
Flight Planning ◽  
Mapping Process ◽  
Urban Territories

The photogrammetric mapping process at the first stage requires planning of aerial photography. Aerial photographs quality depends on the successfull photographic mission specified by requirements that meet not only Lithuanian needs, but also the requirements of the European Union. For such a purpose the detailed specifications for aerial photographic mission for mapping urban territories at a large scale are investigated. The aerial photography parameters and requirements for flight planning, photographic strips, overlaps, aerial camera and film are outlined. The scale of photography, flying height and method for photogrammetric mapping is foreseen as well as tolerances of photographs tilt and swings round (yaw) are presented. Digital camera based on CCD sensors and on-board GPS is greatly appreciated in present-day technologies undertaking aerial mission.

scholarly journals Elimination of cloud shadows on materials of aviation shooting in the visible range

2020 ◽  
Vol 26 (2) ◽  
pp. 286-297
Author(s):  
Ilya Rylskiу ◽  
Evgeniy Eremchenko ◽  
Tatiana Kotova
Keyword(s):  
High Resolution ◽  
Aerial Photography ◽  
Satellite Images ◽  
Spectral Characteristics ◽  
Significant Proportion ◽  
Aerial Photographs ◽  
Visible Range ◽  
Reference Images ◽  
Prototype Software ◽  
High Clouds

Aerial photography is often impossible due to the presence of high clouds with contrasting shadows that do not allow to obtain materials suitable for decryption. At the same time, in a significant proportion of projects in Russia, the snowless season suitable for surveying is very short. The inability to perform aerial photography while flying below the clouds leads to cost increasing. In some cases, projects cannot be completed. Existing software does not allow to solve the problem of equalizing the brightness in the shadows for several reasons. The main reason is the inability to identify the boundaries of the shadows using only the spectral characteristics of the images, the inability to determine the amount of correction for shaded areas. To solve this problem, it is proposed to use reference images of the worse resolution obtained from the satellites. Reference images are used to localize and determine the magnitude of the spectral correction of aerial photographs. The work is performed with single orthophotographs or orthophotomosaics in the same coordinate system. To determine the boundaries of the shaded zones and the values of the corrections in brightness, methods of cartographic algebra on regular data arrays are used. Further, the obtained correction matrices are subject to filtering and are used to correct high-resolution aerial photographs. The paper gives an example of the use of free (or cheap) satellite images to eliminate or reduce the contrast of shadows on aerial photographs with a detail of 20 cm. The created prototype software allows to perform additive or multiplicative correction of an array of individual aerial photographs. The proposed approach requires more time for data processing, but gives much more acceptable results for visual (manual) decryption. The method is not recommended for use when working with images in more than 10 cm, when solving monitoring tasks with frequent repeated surveys, and also, if necessary, to carry out automated decoding using spectral standards.

Application of Remote Sensing in Agriculture

2014 ◽  
Vol 13 (1) ◽  
Author(s):  
Jan Piekarczyk
Keyword(s):  
Remote Sensing ◽  
Precision Agriculture ◽  
Crop Production ◽  
Satellite Images ◽  
Crop Yields ◽  
Spatial Scales ◽  
Strong Relationship ◽  
Physical Parameters ◽  
Agricultural Crop ◽  
Remote Sensing Methods

AbstractWith increasing intensity of agricultural crop production increases the need to obtain information about environmental conditions in which this production takes place. Remote sensing methods, including satellite images, airborne photographs and ground-based spectral measurements can greatly simplify the monitoring of crop development and decision-making to optimize inputs on agricultural production and reduce its harmful effects on the environment. One of the earliest uses of remote sensing in agriculture is crop identification and their acreage estimation. Satellite data acquired for this purpose are necessary to ensure food security and the proper functioning of agricultural markets at national and global scales. Due to strong relationship between plant bio-physical parameters and the amount of electromagnetic radiation reflected (in certain ranges of the spectrum) from plants and then registered by sensors it is possible to predict crop yields. Other applications of remote sensing are intensively developed in the framework of so-called precision agriculture, in small spatial scales including individual fields. Data from ground-based measurements as well as from airborne or satellite images are used to develop yield and soil maps which can be used to determine the doses of irrigation and fertilization and to take decisions on the use of pesticides.

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