scholarly journals Estimating total suspended sediments concentrations and transparency with hyper-spectral reflectance in Shitoukoumen Reservoir, Jilin Prvoince

2007 ◽  
Vol 19 (3) ◽  
pp. 269-274 ◽  
Author(s):  
XU Jingping ◽  
◽  
ZHANG Bai ◽  
LIN Yu ◽  
SONG Kaishan ◽  
...  
Keyword(s):  
Spectral Reflectance ◽  
Suspended Sediments ◽  
Hyper Spectral ◽  
Shitoukoumen Reservoir ◽  
Total Suspended Sediments

Deriving Hyper Spectral Reflectance Spectra from UAV Data Collected in Changeable Illumination Conditions to Assess Vegetationcondition

2018 ◽  
Author(s):  
France Gerard ◽  
Charles George ◽  
Jakob Iglhaut ◽  
Richard Broughton ◽  
Cecilia Chavana-Bryant ◽  
...  
Keyword(s):  
Spectral Reflectance ◽  
Reflectance Spectra ◽  
Hyper Spectral

Nitrate, Total Ammonia, and Total Suspended Sediments Modeling for the Mobile River Watershed

2017 ◽  
Vol 8 (2) ◽  
pp. 20-31 ◽  
Author(s):  
Vladimir J. Alarcon ◽  
Gretchen F. Sassenrath
Keyword(s):  
Management Practices ◽  
Management Practice ◽  
Suspended Sediments ◽  
Quality Model ◽  
River Watershed ◽  
Stream Bank ◽  
Total Ammonia ◽  
Bank Stabilization ◽  
Sediment Model ◽  
Total Suspended Sediments

This paper presents details of a water quality model of the Mobile River watershed that estimates total suspended sediments at the outlet of the watershed. The model is capable of simulating Nitrate (NO3), Total Ammonia (TAM), and Total Suspended Sediments (TSS) for extended periods of time at a daily temporal resolution (1970-1995). The Hydrological Simulation Program Fortran is used for modeling the hydrological, nitrogenous constituents, and sediment processes. Based on the nutrient simulation and exploration of the effects of two management practices (filter strips and stream bank stabilization and fencing) on nutrient removal, the resulting sediment model is used to implement the most efficient nutrient management practice and explore its effects on TSS concentrations in the Mobile River. Results show that the implementation of the management practice “stream bank stabilization and fencing” to agricultural lands in sub-watersheds that had intense agricultural activities produced the highest reductions of NO3 concentration (up to 14.06%) and TAM concentrations (8.01%). Based on the nutrient simulation and identification of “stream bank stabilization and fencing” as the most efficient BMP for nutrient concentration reduction, the sediment model was used to explore its effects on TSS concentrations in the Mobile River. Implementing “stream bank stabilization and fencing” produced monthly median TSS concentration reductions ranging from 3.6% to 10.6% in the Mobile River.

Statistical Models for Prediction of Dry Weight and Nitrogen Accumulation Based on Visible and Near-Infrared Hyper-Spectral Reflectance of Rice Canopies

2000 ◽  
Vol 3 (4) ◽  
pp. 377-386 ◽  
Author(s):  
Wataru Takahashi ◽  
Vu Nguyen-Cong ◽  
Sachio Kawaguchi ◽  
Megumi Minamiyama ◽  
Seishi Ninomiya
Keyword(s):  
Statistical Models ◽  
Spectral Reflectance ◽  
Near Infrared ◽  
Dry Weight ◽  
Nitrogen Accumulation ◽  
Hyper Spectral

scholarly journals Monitoring of seasonal variability and movement of suspended sediment concentrations along the Thiruvananthapuram coast, southern India, using the Landsat OLI sensor

Ocean Science ◽  
2018 ◽  
Vol 14 (5) ◽  
pp. 1085-1092 ◽  
Author(s):  
Bismay Ranjan Tripathy ◽  
Kaliraj Seenipandi ◽  
Haroon Sajjad ◽  
Pawan Kumar Joshi ◽  
Bhagwan Singh Chaudhary ◽  
...  
Keyword(s):  
Suspended Sediment ◽  
Coastal Water ◽  
Seasonal Variability ◽  
Spectral Reflectance ◽  
Suspended Sediments ◽  
Southern India ◽  
Landsat 8 ◽  
Post Monsoon ◽  
Suspended Sediment Concentrations ◽  
Multi Temporal

Abstract. Studies on suspended sediment concentrations at a seasonal scale play a vital role in understanding coastal hydrodynamic processes in an area. Assessment of spatio-temporal changes in suspended sediments in nearshore areas has gained complexity due to the utilization of conventional methods; this issue can be successfully solved nowadays using multi-temporal remotely sensed images with the help of advanced image processing techniques. The present study is an attempt to demonstrate the model algorithm used to extract suspended sediment concentrations using Landsat 8 OLI (Operational Land Imager) sensor images. The study was executed in a near-offshore area of the Thiruvananthapuram coast, southern India, and focused on the extraction of suspended sediment concentrations and their seasonal variability during pre-monsoon and post-monsoon periods. The OLI images were pre-processed to obtain the actual reflectance using the FLASSH module of the ENVI v5.5 software. The generic model developed herein is designed to compute the spectral reflectance variability between coastal water and suspended sediments and to differentiate the spatial accumulation of the suspended sediment concentrations from the coastal water at the pixel scale. Maximum (0.8 % in near-infrared bands) and minimum (0.6 % in blue bands) spectral reflectance indicates the occurrence of suspended sediments in the coastal water. The model-derived results revealed that the suspended sediment concentration gradually decreased with increasing depth and distance from the shoreline. Higher sediment concentrations accumulated at lower depths in coastal water due to wave and current action that seasonally circulated the sediments. This higher concentration of the suspended sediment load was estimated to be 0.92 mg L−1 at the shallow depths (<10 m) of the coastal waters and 0.30 mg L−1 at a depth of 30 m. Seasonal variability of suspended sediments was observed in a north–south direction during the pre-monsoon; the reverse was noted during the post-monsoon period. The spatial variability of suspended sediments was indirectly proportional to the depth and distance from the shoreline, and directly proportional to offshore wave and littoral current activity. This study proves that the developed model coupled with the provided computational algorithm can be used as an effective tool for the estimation of suspended sediment concentrations using multi-temporal OLI images; furthermore, the output may be helpful for coastal zone management and conservation planning and development.

scholarly journals Studies on hyper spectral reflectance behaviour of maize (Zea mays L.) under various fertility levels

2015 ◽  
Vol 10 (1) ◽  
pp. 68-72
Author(s):  
V.D. PATIL ◽  
A.L. DHAMAK ◽  
M.S. DESHMUKH
Keyword(s):  
Zea Mays ◽  
Spectral Reflectance ◽  
Zea Mays L ◽  
Hyper Spectral

Nitrate, Total Ammonia, and Total Suspended Sediments Modeling for the Mobile River Watershed

2020 ◽  
pp. 1469-1481
Author(s):  
Vladimir J. Alarcon ◽  
Gretchen F. Sassenrath
Keyword(s):  
Management Practices ◽  
Management Practice ◽  
Suspended Sediments ◽  
Quality Model ◽  
River Watershed ◽  
Stream Bank ◽  
Total Ammonia ◽  
Bank Stabilization ◽  
Sediment Model ◽  
Total Suspended Sediments

This paper presents details of a water quality model of the Mobile River watershed that estimates total suspended sediments at the outlet of the watershed. The model is capable of simulating Nitrate (NO3), Total Ammonia (TAM), and Total Suspended Sediments (TSS) for extended periods of time at a daily temporal resolution (1970-1995). The Hydrological Simulation Program Fortran is used for modeling the hydrological, nitrogenous constituents, and sediment processes. Based on the nutrient simulation and exploration of the effects of two management practices (filter strips and stream bank stabilization and fencing) on nutrient removal, the resulting sediment model is used to implement the most efficient nutrient management practice and explore its effects on TSS concentrations in the Mobile River. Results show that the implementation of the management practice “stream bank stabilization and fencing” to agricultural lands in sub-watersheds that had intense agricultural activities produced the highest reductions of NO3 concentration (up to 14.06%) and TAM concentrations (8.01%). Based on the nutrient simulation and identification of “stream bank stabilization and fencing” as the most efficient BMP for nutrient concentration reduction, the sediment model was used to explore its effects on TSS concentrations in the Mobile River. Implementing “stream bank stabilization and fencing” produced monthly median TSS concentration reductions ranging from 3.6% to 10.6% in the Mobile River.

scholarly journals Hyper Spectral Image Characteristics of Aronia Melanocarpa Leaves under Saline Alkali Stress

2020 ◽  
Keyword(s):  
Spectral Reflectance ◽  
Near Infrared ◽  
Spectral Information ◽  
Alkali Stress ◽  
Plant Leaves ◽  
Infrared Band ◽  
Spectral Image ◽  
Aronia Melanocarpa ◽  
Image Characteristics ◽  
Hyper Spectral

<p>Objective: To obtain the characteristics analysis results of aronia melanocarpa leaves under saline alkali stress state and improve yield and quality of aronia melanocarpa. Methods: Using hyper spectral imaging system to obtain hyper spectral images of aronia melanocarpa leaves under saline alkali stress. The clear hyper spectral image is obtained by the conversion of reflectance, spectral envelope removal, and spectral denoising, and final hyper spectral image is obtained by the normalization of a clearer hyper spectral image. Results: Spectral information of aronia melanocarpa leaves under slight saline alkali stress: in the visible band, leaf reflectance is lower than leaf nutrient rich stress condition; in the near infrared band, the nutrient rich leaves was significantly higher than that of stress leaves. Spectral information of leaves under moderate saline alkali stress: spectral reflectance of different lesion spots for a same leaf in 550-680nm band is: severe &gt; moderate &gt; slight &gt; normal, in the near infrared band is on the contrary; spectral reflectance for different lesion grades in 550-680 nm, severe lesion leaves have highest reflectance, and normal leaves have the lowest reflectance. Under severe saline alkali stress, the leaf spectral information is: there is no significant difference in leaf spectral reflectance between the attachment aphid and the damaged leaf, but the difference is obvious for normal leaves in the band of 450-500 nm, 560-680 nm and 750-900 nm. Comparative results analysis for the three of saline alkali stress degree is: the near infrared band of 560-680 nm and the visible band of 780-900 nm is the sensitive band for the diagnosis of three kinds of stress; slight saline alkali stress has the most significant differences at 550 nm, and 780-900 nm; severe saline alkali stress has at 680 nm and 780-900 nm. Conclusion: The proposed method can analyze hyper spectral image characteristics of aronia melanocarpa leaves under different saline alkali stress the condition of is a kind of plant leaves, which is an efficient method for the analysis of characteristics of plant leaves under saline alkali stress.</p>

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