Remote Sensing as an Aid to the Inventory and Management of Natural Resources

1978 ◽  
Vol 32 (2) ◽  
pp. 183-203
Author(s):  
Robert N. Colwell
Keyword(s):  
Remote Sensing ◽  
Natural Resources ◽  
Fossil Fuels ◽  
The United States ◽  
Agricultural Crops ◽  
Nonrenewable Resources ◽  
Remotely Sensed Data ◽  
Remote Sensing Techniques ◽  
Using Data ◽  
Work Done

An analysis is given of the extent to which modern remote-sensing techniques might be used to facilitate the inventory and management of such renewable natural resources as timber, forage, and agricultural crops and of such nonrenewable resources as minerals and fossil fuels. The first part of the paper seeks to clarify both the terms and the concepts that are applicable to the fast growing field of remote sensing. This is followed by a discussion of the various basic considerations that enter into the acquisition and analysis of remotely sensed data. There is an analysis of both the feasibility and the desirability of using data acquired by LANDSAT and other remote-sensing vehicles in the making of globally uniform inventories of various kinds of natural resources. There follows a tabulation of recent and representative applications and the citing of various references in which additional examples are fully described and well illustrated with remote-sensing imagery. Although the paper may appear to be justifiably optimistic, it concludes with some words of caution on the difficulties that can arise whenever there is an overstatement of remote-sensing capabilities and an understatement of remote-sensing limitations. The numerous specific examples of LANDSAT applications that are given in this paper pertain primarily to work done in Canada and the United States.

scholarly journals Accuracies Achieved in Classifying Five Leading World Crop Types and their Growth Stages Using Optimal Earth Observing-1 Hyperion Hyperspectral Narrowbands on Google Earth Engine

2018 ◽  
Vol 10 (12) ◽  
pp. 2027 ◽  
Author(s):  
Itiya Aneece ◽  
Prasad Thenkabail
Keyword(s):  
United States ◽  
Remote Sensing ◽  
Hyperspectral Imaging ◽  
The United States ◽  
Google Earth ◽  
Growth Stages ◽  
Agricultural Crops ◽  
Spectral Library ◽  
Crop Types ◽  
Google Earth Engine

As the global population increases, we face increasing demand for food and nutrition. Remote sensing can help monitor food availability to assess global food security rapidly and accurately enough to inform decision-making. However, advances in remote sensing technology are still often limited to multispectral broadband sensors. Although these sensors have many applications, they can be limited in studying agricultural crop characteristics such as differentiating crop types and their growth stages with a high degree of accuracy and detail. In contrast, hyperspectral data contain continuous narrowbands that provide data in terms of spectral signatures rather than a few data points along the spectrum, and hence can help advance the study of crop characteristics. To better understand and advance this idea, we conducted a detailed study of five leading world crops (corn, soybean, winter wheat, rice, and cotton) that occupy 75% and 54% of principal crop areas in the United States and the world respectively. The study was conducted in seven agroecological zones of the United States using 99 Earth Observing-1 (EO-1) Hyperion hyperspectral images from 2008–2015 at 30 m resolution. The authors first developed a first-of-its-kind comprehensive Hyperion-derived Hyperspectral Imaging Spectral Library of Agricultural crops (HISA) of these crops in the US based on USDA Cropland Data Layer (CDL) reference data. Principal Component Analysis was used to eliminate redundant bands by using factor loadings to determine which bands most influenced the first few principal components. This resulted in the establishment of 30 optimal hyperspectral narrowbands (OHNBs) for the study of agricultural crops. The rest of the 242 Hyperion HNBs were redundant, uncalibrated, or noisy. Crop types and crop growth stages were classified using linear discriminant analysis (LDA) and support vector machines (SVM) in the Google Earth Engine cloud computing platform using the 30 optimal HNBs (OHNBs). The best overall accuracies were between 75% to 95% in classifying crop types and their growth stages, which were achieved using 15–20 HNBs in the majority of cases. However, in complex cases (e.g., 4 or more crops in a Hyperion image) 25–30 HNBs were required to achieve optimal accuracies. Beyond 25–30 bands, accuracies asymptote. This research makes a significant contribution towards understanding modeling, mapping, and monitoring agricultural crops using data from upcoming hyperspectral satellites, such as NASA’s Surface Biology and Geology mission (formerly HyspIRI mission) and the recently launched HysIS (Indian Hyperspectral Imaging Satellite, 55 bands over 400–950 nm in VNIR and 165 bands over 900–2500 nm in SWIR), and contributions in advancing the building of a novel, first-of-its-kind global hyperspectral imaging spectral-library of agricultural crops (GHISA: www.usgs.gov/WGSC/GHISA).

scholarly journals Remote Sensing Applications for Planning Irrigation Management. The Use of SEBAL Methodology for Estimating Crop Evapotranspiration in Cyprus

2012 ◽  
Vol 9 (1) ◽  
pp. 17-21
Author(s):  
George Papadavid ◽  
Skevi Perdikou ◽  
Michalakis Hadjimitsis ◽  
Diofantos Hadjimitsis
Keyword(s):  
Remote Sensing ◽  
Water Allocation ◽  
Surface Energy Balance ◽  
Irrigation Management ◽  
Irrigation Scheduling ◽  
Severe Drought ◽  
Remotely Sensed Data ◽  
Sensing Applications ◽  
Remote Sensing Applications ◽  
Remote Sensing Techniques

Abstract Water allocation to crops has always been of great importance in the agricultural process. In this context, and under the current conditions, where Cyprus is facing a severe drought the last five years, the purpose of this study is basically to estimate the needed crop water requirements for supporting irrigation management and monitoring irrigation on a systematic basis for Cyprus using remote sensing techniques. The use of satellite images supported by ground measurements has provided quite accurate results. Intended purpose of this paper is to estimate the Evapotranspiration (ET) of specific crops which is the basis for irrigation scheduling and establish a procedure for monitoring and managing irrigation water over Cyprus, using remotely sensed data from Landsat TM/ ETM+ and a sound methodology used worldwide, the Surface Energy Balance Algorithm for Land (SEBAL).

scholarly journals Monitoring Beach Topography and Nearshore Bathymetry Using Spaceborne Remote Sensing: A Review

2019 ◽  
Vol 11 (19) ◽  
pp. 2212 ◽  
Author(s):  
Edward Salameh ◽  
Frédéric Frappart ◽  
Rafael Almar ◽  
Paulo Baptista ◽  
Georg Heygster ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Frequency ◽  
Anthropogenic Pressure ◽  
Fundamental Parameters ◽  
Temporal Sampling ◽  
Current State ◽  
Needed Information ◽  
Spatial Coverage ◽  
Remote Sensing Techniques ◽  
Using Data

With high anthropogenic pressure and the effects of climate change (e.g., sea level rise) on coastal regions, there is a greater need for accurate and up-to-date information about the topography of these systems. Reliable topography and bathymetry information are fundamental parameters for modelling the morpho-hydrodynamics of coastal areas, for flood forecasting, and for coastal management. Traditional methods such as ground, ship-borne, and airborne surveys suffer from limited spatial coverage and temporal sampling due to logistical constraints and high costs which limit their ability to provide the needed information. The recent advancements of spaceborne remote sensing techniques, along with their ability to acquire data over large spatial areas and to provide high frequency temporal monitoring, has made them very attractive for topography and bathymetry mapping. In this review, we present an overview of the current state of spaceborne-based remote sensing techniques used to estimate the topography and bathymetry of beaches, intertidal, and nearshore areas. We also provide some insights about the potential of these techniques when using data provided by new and future satellite missions.

Remotely-sensed Data for Natural Resource Models

1986 ◽  
Vol 13 (3) ◽  
pp. 203-210 ◽  
Author(s):  
Jerry C. Ritchie ◽  
Edwin T. Engman
Keyword(s):  
Remote Sensing ◽  
Natural Resource ◽  
Spatial Data ◽  
Model Simulation ◽  
Simulation Models ◽  
Remotely Sensed ◽  
Remotely Sensed Data ◽  
Remote Sensors ◽  
Remote Sensing Techniques ◽  
Spatial And Temporal Characteristics

Attempts to model ecosystems have increased in recent years through the application of systems theory and the improvement in computer capacity and speed. A major problem with these models is providing data for input or validation. A potential source of data is information collected by remote-sensing techniques. Remotely-sensed data can be used in natural resource simulation models to provide spatial and temporal measurements, data for model calibration or validation, and independent feedback to keep the model simulation on track with reality. Remote sensing can provide spatial and temporal measurements of many landscape parameters that could improve our ability to understand and model the spatial and temporal characteristics of landscapes.The challenge for remote-sensing scientists, landscape ecologists, and natural resource modellers, is to determine the most effective way to interpret and use the data from remote sensors in natural resource management. Natural resource models that can fully utilize the spatial data which remote-sensing techniques can provide, will almost certainly improve our understanding of landscapes and our ability to simulate and manage them wisely.

scholarly journals Quantifying Nutrient Content in the Leaves of Cowpea Using Remote Sensing

2022 ◽  
Vol 12 (1) ◽  
pp. 458
Author(s):  
Julyanne Braga Cruz Amaral ◽  
Fernando Bezerra Lopes ◽  
Ana Caroline Messias de Magalhães ◽  
Sebastian Kujawa ◽  
Carlos Alberto Kenji Taniguchi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Block Design ◽  
Nutrient Content ◽  
Single Band ◽  
Growth Stages ◽  
Least Squares Regression ◽  
Phenological Stages ◽  
Band Ratio ◽  
Remote Sensing Techniques ◽  
Using Data

Although hyperspectral remote sensing techniques have increasingly been used in the nutritional quantification of plants, it is important to understand whether the method shows a satisfactory response during the various phenological stages of the crop. The aim of this study was to quantify the levels of phosphorus (P), potassium (K), calcium (Ca) and zinc (Zn) in the leaves of Vigna Unguiculata (L.) Walp using spectral data obtained by a spectroradiometer. A randomised block design was used, with three treatments and twenty-five replications. The crop was evaluated at three growth stages: V4, R6 and R9. Single-band models were fitted using simple correlations. For the band ratio models, the wavelengths were selected by 2D correlation. For the models using partial least squares regression (PLSR), the stepwise method was used. The model showing the best fit was used to estimate the phosphorus content in the single-band (R² = 0.62; RMSE = 0.54 and RPD = 1.61), band ratio (R² = 0.66; RMSE = 0.65 and RPD = 1.52) and PLSR models, using data from each of the phenological stages (R² = 0.80; RMSE = 0.47 and RPD = 1.66). Accuracy in modelling leaf nutrients depends on the phenological stage, as well as the amount of data used, and is more accurate with a larger number of samples.

scholarly journals MONITORING OF EGYPTIAN COASTAL LAKES USING REMOTE SENSING TECHNIQUES

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 693-699
Author(s):  
N. S. Donia ◽  
H. Farag
Keyword(s):  
Remote Sensing ◽  
Land Reclamation ◽  
Remote Sensing And Gis ◽  
Fish Production ◽  
Remotely Sensed Data ◽  
Coastal Lakes ◽  
Total Fish ◽  
Remote Sensing Techniques ◽  
Drainage Waters

<p><strong>Abstract.</strong> The Northern Lakes play a significant role in Egyptian economy for fish production in Egypt. Until 1991, these Lakes have always contributed more than 40% of the country's total fish production, but at present this has decreased to less than 12.22% as they serve as reservoirs for drainage waters, which contaminated with anthropogenic materials. Since Remote sensing and GIS are suitable and valuable techniques to identify the rate of land reclamation of the coastal lakes over the last three decades. This was undertaken using different kinds of imagery to employ historical remotely sensed data to reveal the long-term changes in the physical characteristics of the lagoon. This paper explains how remote sensing coupled with GIS can be used for lake monitoring applied on some Egyptian coastal lakes as example.</p>

DIAGNÓSTICO DO USO E COBERTURA DA TERRA NOS RESERVATÓRIOS PÚBLICOS DO MUNICÍPIO DE PAU DOS FERROS, RN, BRASIL

2020 ◽  
Vol 11 (38) ◽  
pp. 146-161
Author(s):  
Aluizio Bezerra Júnior ◽  
◽  
Agassiel Medeiros Alves ◽  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Natural Resources ◽  
Spatial Resolution ◽  
Sustainable Use ◽  
Rio Grande ◽  
Spatial Dimensions ◽  
Methodological Procedures ◽  
Remote Sensing Techniques ◽  
Sentinel 2

Research objective is to classify, measure and map the spatial dimensions of land use and land cover classes in public reservoirs 25 de Março and Dr. Pedro Diógenes Fernandes, both belonging to the municipality of Pau dos Ferros, state of Rio Grande do Norte. For the methodological procedures, remote sensing techniques (SIG Qgis version Lyon 2.12.3) were used, of the medium spatial resolution images of the SENTINEL 2 satellite, MSI sensor (Multispectral Instrument), accompanied by the interpretation key. The results showed that there is a possibility of sustainable use, since the exploration and conservation remains in balance, therefore, this research can subsidize the conservation of the use of natural resources around the reservoirs.

scholarly journals Combining temporal 3-D remote sensing data with spatial rockfall simulations for improved understanding of hazardous slopes within rail corridors

2018 ◽  
Vol 18 (8) ◽  
pp. 2295-2308 ◽  
Author(s):  
Megan van Veen ◽  
D. Jean Hutchinson ◽  
David A. Bonneau ◽  
Zac Sala ◽  
Matthew Ondercin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Source Zone ◽  
Rock Slopes ◽  
Remotely Sensed Data ◽  
Railway Tracks ◽  
Multiple Datasets ◽  
Remote Sensing Techniques ◽  
Changes Over Time ◽  
Frequency Curves

Abstract. Remote sensing techniques can be used to gain a more detailed understanding of hazardous rock slopes along railway corridors that would otherwise be inaccessible. Multiple datasets can be used to identify changes over time, creating an inventory of events to produce magnitude–frequency relationships for rockfalls sourced on the slope. This study presents a method for using the remotely sensed data to develop inputs to rockfall simulations, including rockfall source locations and slope material parameters, which can be used to determine the likelihood of a rockfall impacting the railway tracks given its source zone location and volume. The results of the simulations can be related to the rockfall inventory to develop modified magnitude–frequency curves presenting a more realistic estimate of the hazard. These methods were developed using the RockyFor3D software and lidar and photogrammetry data collected over several years at White Canyon, British Columbia, Canada, where the Canadian National (CN) Rail main line runs along the base of the slope. Rockfalls sourced closer to the tracks were more likely to be deposited on the track or in the ditch, and of these, rockfalls between 0.1 and 10 m3 were the most likely to be deposited. Smaller blocks did not travel far enough to reach the bottom of the slope and larger blocks were deposited past the tracks. Applying the results of the simulations to a database of over 2000 rockfall events, a modified magnitude–frequency can be created, allowing the frequency of rockfalls deposited on the railway tracks or in ditches to be determined. Suggestions are made for future development of the methods including refinement of input parameters and extension to other modelling packages.

scholarly journals THỰC TRẠNG VÀ NHỮNG THÁCH THỨC TRONG QUẢN LÝ ĐẤT NGẬP NƯỚC TẠI VÙNG CỬA SÔNG Ô LÂU, TỈNH THỪA THIÊN HUẾ

2020 ◽  
Vol 4 (2) ◽  
pp. 1861-1870
Author(s):  
Dương Quốc Nõn ◽  
Nguyễn Hữu Ngữ ◽  
Trương Đỗ Minh Phượng ◽  
Lê Hữu Ngọc Thanh ◽  
Nguyễn Thị Nhật Linh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Natural Resources ◽  
Coastal Wetlands ◽  
Wetland Management ◽  
Viet Nam ◽  
Agricultural Crops ◽  
Inland Wetlands ◽  
Strategic Plans ◽  
Management And Conservation

Nghiên cứu này nhằm mục đích làm rõ những đặc điểm và những thách thức trong quản lý, bảo tồn đất ngập nước (ĐNN) tại vùng cửa sông Ô Lâu (CSÔL), tỉnh Thừa Thiên Huế. Kết hợp phương pháp phỏng vấn nông hộ, phỏng vấn cán bộ với phương pháp bản đồ, GIS, viễn thám đã cho thấy, vùng CSÔL có diện tích khoảng 11.000 ha, trong đó, vùng lõi có diện tích là khoảng 433 ha. Theo tiêu chuẩn phân loại ĐNN của Việt Nam, khu vực này có 3 nhóm chính là i) nhóm ĐNN biển và ven biển; ii) nhóm ĐNN nội địa; và iii) nhóm ĐNN nhân tạo. Hiện nay, người dân vẫn đang khai thác các nguồn tài nguyên của vùng CSÔL cho các hoạt động sinh kế. Khoảng 99,6 ha cây bụi tại các bãi bồi đã bị thay thế bởi các loại cây nông nghiệp. Tài nguyên, cảnh quan ĐNN tại CSÔL đang bị biến đổi mạnh mẽ và chức năng sinh thái của khu vực này cũng đang bị suy giảm mạnh. Để phục hồi các chức năng của vùng CSÔL, cần nhiều giải pháp từ cả chính quyền địa phương, người dân và các nhà khoa học. Trong đó, quan trọng nhất là nhận thức của người dân và ý chí của các cấp quản lý trong quá trình hoạch định chiến lược phát triển của vùng. ABSTRACT This study aimed at determining the O Lau river’s wetlands (OLRW) characteristics and identifying challenges in wetland management and conservation. By using various methods such as households and local government’s staff interview, mapping, geographic information system (GIS), remote sensing, the research results showed that the OLRW was about 11.000 hectares in which its core zone was about 433 hectares. Following Vietnam’s classification of wetlands, OLRW has three main categories, namely: i) marine and coastal wetlands; ii) inland wetlands; and iii) man-made wetlands. Currently, inhabitants are exploiting OLRW’s natural resources for their livelihood activities. Approximately 99,6 hectares of shrub-dominated wetlands were replaced by agricultural crops. OLRW’s natural resources and landscape have been destroying by human’s activities. In addition, its ecological function has also been reducing. For OLRW’s ecological functional resilience, it is necessary for the local government, inhabitants and sicientists to take countermeasures. The most important keys are inhabitants’ perception and local government’s mind in deciding to make of the development of the strategic plans.

scholarly journals Combining temporal 3D remote sensing data with spatial rockfall simulations for improved understanding of hazardous slopes within rail corridors

2017 ◽  
Author(s):  
Megan van Veen ◽  
D. Jean Hutchinson ◽  
David A. Bonneau ◽  
Zac Sala ◽  
Matthew Ondercin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Source Zone ◽  
Remotely Sensed Data ◽  
Rock Falls ◽  
Railway Tracks ◽  
Multiple Datasets ◽  
Remote Sensing Techniques ◽  
Changes Over Time ◽  
Frequency Magnitude

Abstract. Remote sensing techniques can be used to gain a more detailed understanding of hazardous rock slopes along railway corridors that would otherwise be inaccessible. Multiple datasets can be used to identify changes over time and create an inventory of rockfall events including frequency-magnitude relationships for rockfalls sourced on the slope. This study presents a method for using the remotely sensed data to develop inputs to rockfall simulations, which can be used to determine the likelihood of a rockfall impacting the railway tracks given it’s source zone location and volume. The results of the simulations can be related to the rockfall inventory to develop modified frequency-magnitude curves presenting a more realistic estimate of the hazard. These methods were developed using the RockyFor3D software and LiDAR and photogrammetry data collected over several years at the White Canyon, British Columbia, Canada, where the CN Rail main line runs along the base of the slope. Rockfalls sourced closer to the tracks were more likely to be deposited on the track or in the ditch, and of these, rockfalls between 0.1 and 10 m3 were the most likely to be deposited. Smaller blocks did not travel far enough to reach the bottom of the slope and larger blocks were deposited past the tracks. Applying the results of the simulations to a database of over 2000 rockfall events, a modified frequency-magnitude can be created, allowing the frequency of rock falls deposited on the railway tracks or in ditches to be determined. Suggestions are made for future development of the methods including refinement of input parameters and extension to other modelling packages.

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