Applications of aerial photography and remote sensing to hydrobiological research in South Florida

1968 ◽  
Author(s):  
M.C. Kolipinski ◽  
A.L. Higer
Keyword(s):  
Remote Sensing ◽  
Aerial Photography ◽  
South Florida ◽  
Hydrobiological Research

Remote Sensing Techniques in Civil Engineering Surveys

1986 ◽  
Vol 2 (1) ◽  
pp. 119-124
Author(s):  
E. M. Amos ◽  
D. Blakeway ◽  
C. D. Warren
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Aerial Photography ◽  
Civil Engineering ◽  
Thermal Infrared ◽  
Infrared Photography ◽  
Black And White ◽  
Remote Sensing Techniques ◽  
Landsat Satellite ◽  
False Colour

AbstractThis paper outlines selected remote sensing techniques and their application to civil engineering surveys.In BS 5930, emphasis has been placed on the interpretation of black and white aerial photography to provide information. However, other techniques such as true colour and false colour infrared photography, thermal infrared, radar and landsat satellite imagery may be useful in appropriate applications.

Light Reflectance and Remote Sensing of Weeds in Agronomic and Horticultural Crops

Weed Science ◽  
1985 ◽  
Vol 33 (4) ◽  
pp. 569-581 ◽  
Author(s):  
R. M. Menges ◽  
P. R. Nixon ◽  
A. J. Richardson
Keyword(s):  
Remote Sensing ◽  
Aerial Photography ◽  
Near Infrared ◽  
Visible Region ◽  
Surface Characteristics ◽  
Palmer Amaranth ◽  
Canopy Reflectance ◽  
Weed Species ◽  
Crop Species ◽  
Reflectance Data

Plant canopy reflectance over the 0.45- to 1.25-μm wavelength (WL) of weed species and crops was recorded with a field spectroradiometer to evaluate the possible use of remote sensing to distinguish weeds from crops. Weed and weed-crop species reflectance differences were generally greater at the 0.85 μm WL in the near-infrared spectral region than at the 0.55 μm WL in the visible region, indicating that color infrared (CIR) aerial photography may be useful to detect weed populations in crops. Canopy reflectance data were more directly related to photographic differences in weed-crop images than were single leaf or inflorescence reflectance data. Aerial photography at altitudes of 610 to 3050 m distinguished climbing milkweed (Sarcostemma cyancboides♯ SAZCY) in orange [Citrus sinensis(L.) Osbeck. ‘Valencia’) trees; ragweed parthenium (Parthenium hysterophorusL. ♯ PTNHY) in carrot (Daucus carotaL., var.sativa‘Long Imperator’); johnsongrass [Sorghum halepense(L.) Pers. ♯ SORHA) in cotton (Gossypium hirsutumL. ‘CP 3774’) and in sorghum (Sorghum bicolorL. Moench. ‘Oro’); London rocket (Sisymbrium irioL. ♯ SSYIR) in cabbage; and Palmer amaranth (Amaranthus palmeriS. Wats. ♯ AMAPA) in cotton. Johnsongrass was also detectable with CIR film in maturing grain sorghum from 18 290 m. Detection of weed species in crops was aided by differential stages of inflorescence and senescence, and by the chlorophyll content, color, area, intercellular space, and surface characteristics of the leaves. Discrete plant community areas were determined by computer-based image analyses from a 1:8000-scale positive transparency with the efficiency of 82, 81, 68, and 100% for Palmer amaranth, johnsongrass, sorghum, and cotton, respectively. The computer analyses should permit discrete aerial surveys of weed-crop communities that are necessary for integrated crop management systems.

TECHNOLOGY OF INTEGRATED ASSESSMENT OF WOOD RESOURCES BY REMOTE SENSING METHODS OF THE EARTH

2021 ◽  
pp. 129-138
Author(s):  
V. K. KHLYUSTOV ◽  
◽  
S. A. YURCHUK ◽  
D. V. KHLYUSTOV ◽  
A. M. GANIKHIN
Keyword(s):  
Remote Sensing ◽  
Spatial Resolution ◽  
Aerial Photography ◽  
Laser Scanning ◽  
Forest Canopy ◽  
Remote Sensing Data ◽  
Economic Sectors ◽  
Sensing Data ◽  
The Earth ◽  
Photogrammetric Method

The relevance and significance of the problem of automated forest inventory is dictated by regulatory documents defining the main directions and principles of digitalization of the country’s economic sectors, including the forest sector. The article is devoted to the problem of automated inventory of forests and digitalization of wood resources by technical means of ground-based taxation of stands, as well as remote aerial photography methods, analytical decoding of the forest canopy and determination of the complex of taxation indicators through the use of information and reference systems of multidimensional forest taxation standards. To construct an orthophotoplane and obtain a digital vegetation model, aerial photography works that meet the requirements of the photogrammetric method and the method of air-laser scanning (ALS) are described. The requirements for the parameters of aerial photography using the photogrammetric method, as well as for the parameters in the BOS, are set out. Variants of the technology of inventory of stands are proposed, indicating the appropriate tools for obtaining remote sensing data of the Earth. An assessment of the reliability of contour decoding of the species composition of stands with different spatial resolution of remote sensing data is given. The accuracy of digital vegetation models with different spatial resolution of data, the possibility of evaluating morphometric and volumetric indicators of tree crowns, as well as the resulting indicators of canopy closeness as a result of automation are indicated. An important element of the automated digitalization of wood resources is the allocation and taxation of cutting areas, the assessment of the commodity-monetary potential of stands allocated for logging.

Mapping of permafrost on Vega Island, Antarctic Peninsula, using satellite images and aerial photography

2002 ◽  
Vol 34 ◽  
pp. 184-188 ◽  
Author(s):  
Evgeniy Ermolin ◽  
Hernán De Angelis ◽  
Pedro Skvarca
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Antarctic Peninsula ◽  
Aerial Photography ◽  
Satellite Images ◽  
Remote Sensing Data ◽  
Future Extension ◽  
Low Altitude ◽  
Permafrost Mapping ◽  
Cryogenic Processes

AbstractThe work presented deals with detailed mapping of permafrost in Devil Bay, Vega Island, northeastern Antarctic Peninsula. Mapping of landforms and permafrost features within a periglacial plain was performed using high resolution visible satellite images and aerial photography. Two maps of permafrost were produced: one based on analysis and interpretation of visible satellite imagery and another on low-altitude aerial photography, both yielding similar results. The principles of morphogenesis were applied to map production, distinguishing both the syncryogenic and epicryogenic formations and each constitutive cryofacies. The interpretation of remote-sensing data allowed areas of occurrence of particular cryogenic processes to be defined. Remote sensing was found to be useful for permafrost mapping at both medium and large scales, and applicable for future extension to other regions in Antarctica.

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