Remote sensing of geological structure in temperate agricultural terrains

1986 ◽  
Vol 123 (2) ◽  
pp. 113-121 ◽  
Author(s):  
S. A. Drury
Keyword(s):  
Near Infrared ◽  
Early Stage ◽  
Plant Cells ◽  
Growing Season ◽  
Geological Structure ◽  
Thematic Mapper ◽  
Landsat Thematic Mapper ◽  
Common Elements ◽  
Bond Stretching ◽  
Absorption Features

AbstractAgricultural patterns dominate most remotely sensed images of lowland north Europe and camouflage shadow patterns related to topography and hence to underlying geological structure. Images of those parts of the near-infrared spectrum close to absorption features controlled by H–O–H bond stretching in plant cells and soil moisture largely remove this hindrance to interpretation, if they are acquired at an early stage in the growing season. The most easily available and most useful images of this type are those of band 5 from the Landsat Thematic Mapper. Spatial filtering techniques applied to digital images can enhance them for structural interpretation if filter matrices and viewing scales are chosen to match the dimensions of the most common elements of the landscape and the peak of visual acuity. Filters to enhance directional attributes of an agricultural scene give appealing results but contain spurious linear features that masquerade as faults.

scholarly journals New information of second-generation Landsat satellites for agricultural applications in the Netherlands.

1987 ◽  
Vol 35 (4) ◽  
pp. 497-504
Author(s):  
G.F. Epema
Keyword(s):  
Statistical Analysis ◽  
Near Infrared ◽  
Ground Cover ◽  
Thematic Mapper ◽  
Infrared Light ◽  
Spectral Information ◽  
Landsat Thematic Mapper ◽  
New Information ◽  
Agricultural Applications ◽  
Thermal Band

Statistical analysis and the construction of reflectance spectra of ground cover types around Wageningen were used to compare the enhanced spectral information of Landsat Thematic Mapper (TM) satellites with information provided by 1st-generation Landsat MSS. TM band 5 was a useful addition to the normal information in the range of visible and near-infrared light, because some crops had a larger decrease in reflectance than others in this band. The low spatial resolution of the thermal band was a major limitation for many applications, although the information was additional to the bands at smaller wavelengths. (Abstract retrieved from CAB Abstracts by CABI’s permission)

Spectral reflectance of lichens and their effects on the reflectance of rock substrates

Geophysics ◽  
1987 ◽  
Vol 52 (7) ◽  
pp. 898-906 ◽  
Author(s):  
C. M. Ager ◽  
N. M. Milton
Keyword(s):  
Spectral Reflectance ◽  
Thematic Mapper ◽  
Spectral Features ◽  
Landsat Thematic Mapper ◽  
Rock Outcrops ◽  
Tm Image ◽  
Lichen Cover ◽  
Absorption Features ◽  
Arid And Semiarid ◽  
Reflectance Peak

Rock outcrops in arid and semiarid regions frequently have abundant lichen cover. We collected lichens and their granite, slate, and hornfels substrates in the Extremadura region of Spain and measured spectral reflectance in the 400–2500 nm region in the laboratory. Lichen cover as low as 30 percent masks the spectral features of spectrally flat rocks such as slate and hornfels. The sharp spectral features of granite are obscured at 60–80 percent lichen cover. The strong reflectance peak at 2220 nm in lichens interferes with recognition of the 2200 nm absorption band in hydroxyl‐bearing minerals that is used to locate hydrothermally altered and potentially mineral‐rich areas. However, lichen spectra are characterized by distinctive absorption features that occur in few minerals and can thus be used to identify lichen presence. From computer modeling of laboratory spectra, we conclude that Landsat Thematic Mapper (TM) band ratios of 3 : 4 and 5 : 2 best minimize lichen effects in TM image analysis.

scholarly journals Can vegetation index track the interannual variation in gross primary production of temperate deciduous forests?

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Fan Liu ◽  
Chuankuan Wang ◽  
Xingchang Wang
Keyword(s):  
Primary Production ◽  
Vegetation Index ◽  
Near Infrared ◽  
Deciduous Forest ◽  
Gross Primary Production ◽  
Growing Season ◽  
Temperate Deciduous Forest ◽  
Near Infrared Reflectance ◽  
Modis Ndvi ◽  
Temperate Deciduous

Abstract Background Vegetation indices (VIs) by remote sensing are widely used as simple proxies of the gross primary production (GPP) of vegetation, but their performances in capturing the inter-annual variation (IAV) in GPP remain uncertain. Methods We evaluated the performances of various VIs in tracking the IAV in GPP estimated by eddy covariance in a temperate deciduous forest of Northeast China. The VIs assessed included the normalized difference vegetation index (NDVI), the enhanced vegetation index (EVI), and the near-infrared reflectance of vegetation (NIRv) obtained from tower-radiometers (broadband) and the Moderate Resolution Imaging Spectroradiometer (MODIS), respectively. Results We found that 25%–35% amplitude of the broadband EVI tracked the start of growing season derived by GPP (R2: 0.56–0.60, bias < 4 d), while 45% (or 50%) amplitudes of broadband (or MODIS) NDVI represented the end of growing season estimated by GPP (R2: 0.58–0.67, bias < 3 d). However, all the VIs failed to characterize the summer peaks of GPP. The growing-season integrals but not averaged values of the broadband NDVI, MODIS NIRv and EVI were robust surrogates of the IAV in GPP (R2: 0.40–0.67). Conclusion These findings illustrate that specific VIs are effective only to capture the GPP phenology but not the GPP peak, while the integral VIs have the potential to mirror the IAV in GPP.

scholarly journals Discrimination of Cabbage Fields for Detecting Clubroot Disease Damage Using Landsat Thematic Mapper Data.

1992 ◽  
Vol 61 (3) ◽  
pp. 527-535 ◽  
Author(s):  
Yoichi TORIGOE ◽  
Tetsuro AMANO ◽  
Kei OGAWA ◽  
Michikazu FUKUHARA
Keyword(s):  
Thematic Mapper ◽  
Landsat Thematic Mapper ◽  
Clubroot Disease ◽  
Thematic Mapper Data ◽  
Disease Damage
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