Letter to the Editor: Estimating Markov transitions

Huber, William A.

doi:10.1006/jema.2000.0412

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…Brown et al (2000) recently presented an approach to estimating transition probabilities between two binary images in a study of land use and land cover relationship in the Upper Midwest, USA. This approach, according to Huber (2001), needs to be improved and generalized in order to estimate properly Markov transitions from a pair of images.…”

Section: Markov Modelling Of Land Use and Land Cover Changesmentioning

confidence: 99%

Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling

Weng

2002

Journal of Environmental Management

760

407

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Section: Markov Modelling Of Land Use and Land Cover Changesmentioning

confidence: 99%

Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling

Weng

2002

Journal of Environmental Management

760

407

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“…Dear Sir, This is in response to William A. Huber's Letter to the Editor (Huber, 2001), which addressed issues raised by 'our paper' (Brown et al, 2000). We are thankful to Dr Huber for his thoughtful commentary and respond here to his questions about our method of computing transition probabilities from binary images taken at two points in time and issues related to the time-standardization of transition matrices.…”

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confidence: 87%

Reply to Huber

Brown¹,

Jd²

2001

Journal of Environmental Management

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“…Brown et al (2000) recently presented an approach to estimating transition probabilities between two binary images in a study of land use and land cover relationship in the Upper Midwest, USA. This approach, according to Huber (2001), needs to be improved and generalised in order to estimate properly Markov transitions from a pair of images.…”

Section: Introductionmentioning

confidence: 99%

Changing water resources study using GIS and spatial model — A case study of Bhatar Block, district Burdwan, West Bengal, India

Biswas

2009

J Indian Soc Remote Sens

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Markov chains have been used to model spatial changes in a variety of spheres. Changes in social situations, economic standards, natural resource availability, and even weather conditions have been explored and predicted using Markov Random Function (MRF) and Markov Random Chains (MRC). In this section, we try to use data of Mahata village of Bhatar Block, extracted from GIS based maps/images in a MRC to obtain present transition probabilities and predict future changes. The village is facing the problem of decreasing the water table and at the same time the number of surface water bodies is also decreasing. This is a serious situation for the development of the agricultural activities in general and at the same time it poses threat to the human habitation of the village in the long run. The average depth of the ground water table from ground level increased from 8 meter to 15 meter within the last 10 years. The threat is coming from the changes in land use and land cover, especially due to substantial extension of agricultural activities which is expanding at a very fast rate. Increasing population is also demanding more lands for settlement and industrial uses. The surface water bodies i.e. the ponds etc. are used for such intensive irrigation purposes. As a result the surface water bodies depletes before the onset of summer. The cultivators use those dried up ponds or surface water bodies for agricultural purposes also. There is thus a serious trend to convert the surface water bodies into the agricultural land. It is estimated using MRC, that in next 25 years, the number of surface water bodies will deplete by 50% in the agriculturally active Bhatar PS at the current rates of depletion. Shifting to less water needy crops, prevention of LULC conversion, and water harvesting would provide some solace to the situation. 706

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Letter to the Editor: Estimating Markov transitions

Cited by 4 publications

References 3 publications

Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling

Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling

Reply to Huber

Changing water resources study using GIS and spatial model — A case study of Bhatar Block, district Burdwan, West Bengal, India

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