Soil resource assessment and mapping using remote sensing and GIS

2009 ◽  
Vol 37 (3) ◽  
pp. 511-525 ◽  
Author(s):  
A. Velmurugan ◽  
Guillen G. Carlos
Keyword(s):  
Remote Sensing ◽  
Resource Assessment ◽  
Remote Sensing And Gis ◽  
Soil Resource ◽  
Soil Resource Assessment

Status and Opportunities for Forest Resources Management Using Geospatial Technologies in Northeast India

2020 ◽  
pp. 206-224
Author(s):  
Kasturi Chakraborty ◽  
Thota Sivasankar ◽  
Junaid Mushtaq Lone ◽  
K. K. Sarma ◽  
P. L. N. Raju
Keyword(s):  
Remote Sensing ◽  
Forest Degradation ◽  
Resource Assessment ◽  
Economic Benefits ◽  
Remote Sensing And Gis ◽  
Forest Resource ◽  
Forest Density ◽  
North East ◽  
Endemic Medicinal Plant ◽  
Forest Resources Management

The forest resource of North East Region (NER) of India is a store house of several unique, endangered, endemic, medicinal plant, bamboo, etc. species in diverse forest type and high forest density. Several authors and organizations have contributed to the study of the richness and diversity distributed in different forest types and forest density. This chapter attempts to highlight the uniqueness of the forest of NER and the role of geospatial technology and presents various interesting studies pertaining to the region as an input to forest resource assessment. Remote sensing and GIS have an important role in NER forest resource assessment, management, and conservation. Various studies carried out with the help of remote sensing and GIS technology have highlighted the ongoing forest degradation and deforestation taking place in this region due to developmental activity and economic benefits. There is continuous improvement in the forest estimates from coarse resolution satellite data to unmanned aerial vehicles (UAV) in the recent times.

An analytical tool for understanding the properties and behaviour of variable charge soils

Soil Research ◽  
2007 ◽  
Vol 45 (2) ◽  
pp. 83 ◽  
Author(s):  
G. P. Gillman
Keyword(s):  
Surface Charge ◽  
Large Scale ◽  
Graphical Representation ◽  
Resource Assessment ◽  
Ideal Condition ◽  
Soil Resource ◽  
Variable Charge ◽  
Ph Range ◽  
Soil Resource Assessment ◽  
Insight Into

Routine analyses for soil cation exchange properties usually give only limited insight into the properties and management of soils containing significant amounts of variable charge. In this paper a procedure for determining a soil Charge Fingerprint is fully described, a model developed from simplified theory to underpin the methodology is discussed, and examples of the usefulness of the approach are given. Operationally defined cation and anion exchange capacities (CEC and AEC) are determined over an appropriate pH range (pH 4 to pH 6 is suggested) using Ca and Cl as the index cations. At low pH, Ca does not always fully saturate the CEC, so that it is necessary to distinguish a Basic CEC (Ca ads.) from the Total CEC (Ca + Al ads.). The graphical representation of CECT, CECB, and AEC v. pH constitutes the Charge Fingerprint. Though not intended as a routine instrument, its determination on key samples in a characterisation exercise places routinely determined basic and acidic cations in context. Examples are given of large scale characterisation studies that link soils from different continents having similar surface charge characteristics; of the assessment of the success or otherwise of producing permanent positive charge in synthetically prepared Ti-substituted goethites; and of the evaluation of the effect of adding crushed basic rock amendment on the surface charge properties of a variable charge soil. The formulation of a Depreciation Index, which classifies soils in terms of their departure in basic cation content from an arbitrarily defined ‘ideal’ condition, is suggested for use in soil resource assessment.

Developments in quantitative soil resource assessment (Pedometrics '98)

Geoderma ◽  
2000 ◽  
Vol 97 (3-4) ◽  
pp. 147 ◽  
Author(s):  
Mary Collins ◽  
Alex McBratney ◽  
Marc Voltz ◽  
Christian Walter
Keyword(s):  
Resource Assessment ◽  
Soil Resource ◽  
Soil Resource Assessment

Forest resource assessment in mohand forest range, Uttar Pradesh using remote sensing and GIS

2005 ◽  
Vol 33 (4) ◽  
pp. 565-574 ◽  
Author(s):  
I. J. singh ◽  
D. K. Jugran ◽  
Samson Thanruma ◽  
S. R. Reddy
Keyword(s):  
Remote Sensing ◽  
Uttar Pradesh ◽  
Resource Assessment ◽  
Remote Sensing And Gis ◽  
Forest Resource
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