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You searched for: Journal name Geocarto international Remove constraint Journal name: Geocarto international Publication year rev 7982-2018 Remove constraint Publication year rev: 7982-2018 Source 2018 v.33 no.7 Remove constraint Source: 2018 v.33 no.7
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1. Multi-scale assessment of invasive plant species diversity using Pléiades 1A, RapidEye and Landsat-8 data

Author:
Siddhartha Khare; Hooman Latifi; Sanjay Kumar Ghosh
Source:
Geocarto international 2018 v.33 no.7 pp. 681-698
ISSN:
1752-0762
Subject:
Landsat; Lantana camara; deciduous forests; invasive species; plants (botany); reflectance; species diversity; vegetation cover; Himalayan region; India
Abstract:
... We used a full remote sensing-based approach to assess plant species diversity in large and inaccessible areas affected by Lantana camara L., a common invasive species within the deciduous forests of Western Himalayan region of India, using spectral heterogeneity information extracted from optical data. The spread of L. camara was precisely mapped by Pléiades 1A data, followed by comparing Pléiade ...
DOI:
10.1080/10106049.2017.1289562

2. Site selection for water harvesting ponds using spatial multi-criteria analysis in a region with fluctuating climate

Author:
Altansukh Ochir; Davaajargal Boldbaatar; Munkhtsetseg Zorigt; Solongo Tsetsgee; John Lodewijk van Genderen
Source:
Geocarto international 2018 v.33 no.7 pp. 699-712
ISSN:
1752-0762
Subject:
climate; data collection; factor analysis; ponds; water harvesting; Mongolia
Abstract:
... The purpose of this research was to identify suitable sites for water harvesting ponds using spatial multi-criteria analysis (SMCA). In total, 12 spatial data-sets were used for this research, 14 criteria have been selected for defining a proper sink, and each of these criteria is converted into the common scale differently based on whether one is a constraint or a factor. The defined sinks were e ...
DOI:
10.1080/10106049.2017.1289563

3. Testing utility of Landsat 8 for remote assessment of water quality in two subtropical African reservoirs with contrasting trophic states

Author:
Mhosisi Masocha; Timothy Dube; Tamuka Nhiwatiwa; Dennis Choruma
Source:
Geocarto international 2018 v.33 no.7 pp. 667-680
ISSN:
1752-0762
Subject:
Landsat; chlorophyll; lakes; monitoring; turbidity; water quality; Zimbabwe
Abstract:
... Water quality problems continue on a global scale and this creates the need for regular monitoring using cheaper technologies to inform management. The objective of this study was to test for significant relationships between the field-measured and Landsat 8 OLI sensor-retrieved water quality parameters. The study was carried out in two reservoirs with contrasting trophic states in Zimbabwe. Resul ...
DOI:
10.1080/10106049.2017.1289561

4. A comparative study on groundwater spring potential analysis based on statistical index, index of entropy and certainty factors models

Author:
Enke Hou; Jiale Wang; Wei Chen
Source:
Geocarto international 2018 v.33 no.7 pp. 754-769
ISSN:
1752-0762
Subject:
altitude; computer software; databases; entropy; geographic information systems; groundwater; normalized difference vegetation index; prediction; resource management; roads; sediment transport; statistical models; streams; surveys; watersheds; China
Abstract:
... The main aim of this study is to generate groundwater spring potential maps for the Ningtiaota area (China) using three statistical models namely statistical index (SI), index of entropy (IOE) and certainty factors (CF) models. Firstly, 66 spring locations were identified by field surveys, out of which, 46 (70%) spring locations were randomly selected for training the models and the rest 20 (30%) ...
DOI:
10.1080/10106049.2017.1299801

5. Accounting for phenology in maize yield prediction using remotely sensed dry dekads

Author:
Farai Kuri; Amon Murwira; Karin S. Murwira; Mhosisi Masocha
Source:
Geocarto international 2018 v.33 no.7 pp. 723-736
ISSN:
1752-0762
Subject:
corn; crop yield; developmental stages; drought; growing season; livelihood; normalized difference vegetation index; phenology; prediction; rainfed farming; remote sensing; risk; time series analysis; vegetation; vegetative growth; yield forecasting; Sub-Saharan Africa
Abstract:
... Rain-fed agriculture is threatened by an increased frequency of droughts worldwide thereby putting millions of livelihoods at risk especially in sub-Saharan Africa. This makes drought preparedness critical. In this study, we sought to establish whether maize yield can be predicted using the number of dry dekads that occur at specific maize growth stages for purposes of yield early warning. The dry ...
DOI:
10.1080/10106049.2017.1299798

6. Evaluation of optical remote sensing-based shallow water bathymetry for recursive mapping

Author:
Lydia Sam; Ganesh Prusty; Nidhi Gahlot
Source:
Geocarto international 2018 v.33 no.7 pp. 737-753
ISSN:
1752-0762
Subject:
coasts; estuaries; image analysis; models; regression analysis; remote sensing; satellites
Abstract:
... Water depth estimation using optical remote sensing offers a reliable and efficient means of mapping coastal zones. Here, we aim to find a suitable model for fast and practical bathymetry of an estuary using Indian Remote Sensing Satellite (IRS) Linear Imaging Self Scanning Sensor (LISS-3) images. The study examines three different models; (1) least square regression model, (2) spectral band-ratio ...
DOI:
10.1080/10106049.2017.1299800

7. Evaluation of potential crop productivity based on remote sensing and agro-ecological zones around the world

Author:
Hongyan Wang; Qiangzi Li; Xin Du; Longcai Zhao; Na Wang
Source:
Geocarto international 2018 v.33 no.7 pp. 713-722
ISSN:
1752-0762
Subject:
Food and Agriculture Organization; agroecological zones; corn; crop yield; food security; models; remote sensing; rice; soybeans; staple crops; statistical analysis; winter wheat
Abstract:
... Human diets strongly rely on wheat, maize, rice and soybean; research on the potential crop productivity of these four main crops could provide the basis for increasing global crop yields. The evaluation model of realistic potential crop productivity based on remote sensing and agro-ecological zones was proposed in this study to provide reliable reference data for world food security. The statisti ...
DOI:
10.1080/10106049.2017.1289564