The Integration of Data Review, Remote Sensing and Ground Survey for a Regional-Level Karst Assessment

<p>Knowing our soils well, is the base for a sound land use management, and thus for a worldwide sustainable food production and safe drinking water supply. Especially in countries of the Global South, high quality digital information on soil properties on regional level are rare. While conventional soil inventories are time consuming, digital mapping of soil properties is a promising approach to close the gap more quickly. For this purpose, a reliable method is developed within the BGR project &#8220;ReCharBo&#8221; (Regional Characterisation of Soil Properties) to minimize field and laboratory work by combining remote sensing techniques like hyperspectral and thermal analyses as well as geophysical methods (e.g. gamma spectrometry) with conventional soil survey from different scales. &#160;At local and field-scale the data acquisition is done by drones, portable equipment and soil sampling, complemented at regional level by helicopter and satellite supported methods. In a corresponding talk in the same session Mommertz et al. (2021) give a detailed technical overview of the selected methods and the research concept of the project. To deploy the method including the concept of ground-truthing on arable land, areas in Germany were selected from Soil Maps of Germany at scale 1:1.000.000 (B&#220;K1000), 1:200.000 (B&#220;K200) and 1:50.000 (BK50) depending on representative soil types and region. In a first attempt, the research concept was &#160;carried out with simultaneous field and air borne analyses at two sites &#160;in autumn 2020. The results of this first attempt will be presented at the conference.</p>

Download Full-text

Generating soil electrical conductivity maps at regional level by integrating measurements on the ground and remote sensing data

International Journal of Remote Sensing ◽

10.1080/01431160600928641 ◽

2007 ◽

Vol 28 (15) ◽

pp. 3341-3361 ◽

Cited By ~ 36

Author(s):

P. Brunner ◽

H. T. Li ◽

W. Kinzelbach ◽

W. P. Li

Keyword(s):

Remote Sensing ◽

Electrical Conductivity ◽

Remote Sensing Data ◽

Regional Level ◽

Soil Electrical Conductivity ◽

Sensing Data

Download Full-text

The water productivity score (WPS) at global and regional level: Methodology and first results from remote sensing measurements of wheat, rice and maize

The Science of The Total Environment ◽

10.1016/j.scitotenv.2016.09.032 ◽

2017 ◽

Vol 575 ◽

pp. 595-611 ◽

Cited By ~ 32

Author(s):

Wim G.M. Bastiaanssen ◽

Pasquale Steduto

Keyword(s):

Remote Sensing ◽

Water Productivity ◽

Regional Level ◽

First Results

Download Full-text

ALFALFA DECLINE AND ITS CAUSE IN MIXED HAY FIELDS DETERMINED BY AERIAL PHOTOGRAPHY AND GROUND SURVEY

Canadian Journal of Plant Science ◽

10.4141/cjps78-159 ◽

1978 ◽

Vol 58 (4) ◽

pp. 1041-1048 ◽

Cited By ~ 1

Author(s):

P. K. BASU ◽

V. R. WALLEN ◽

H. R. JACKSON

Keyword(s):

Remote Sensing ◽

Aerial Photography ◽

Root Rot ◽

Color Film ◽

Phytophthora Megasperma ◽

Ground Survey ◽

Image Area ◽

Medicago Sativa L ◽

Remote Sensing Techniques ◽

Alfalfa Root

Methodology was developed utilizing remote sensing techniques to separate and quantitatively measure the various components of alfalfa (Medicago sativa L.) fields containing void areas as well as short grass and weeds. Infrared color film was exposed over mixed hay fields in the Carp and Vernon regions of eastern Ontario in the spring of 3 successive yr (1974–1976). Ground observations were made to ascertain field conditions to confirm the location and the interpretation of dense or sparse alfalfa, tall or short grass, weeds and void areas on the photographs. In 12 representative fields, the percentage of alfalfa, grass and void areas was determined for each year by image area measurements based on optical densities of the photographs. Analysis of soil and alfalfa root samples from these fields confirmed the absence of the root rot pathogen Phytophthora megasperma Drechs. or any other fungi pathogenic to alfalfa. Saprophytic species of Fusarium and Pythium were prevalent in each field. The genera of nematodes found in the samples were not considered harmful to alfalfa. Therefore, an estimated 14% loss of alfalfa was attributed to winter injury during the 3-yr period. The amount of grass increased by 28% and void areas decreased by 14% in these fields.

Download Full-text